cuda 0.3.2.2 → 0.4.0.0
raw patch · 88 files changed
+5708/−11060 lines, 88 filessetup-changed
Files
- Foreign/CUDA.hs +1/−1
- Foreign/CUDA/Analysis.hs +4/−8
- Foreign/CUDA/Analysis/Device.chs +59/−33
- Foreign/CUDA/Analysis/Occupancy.hs +1/−1
- Foreign/CUDA/Driver.hs +15/−15
- Foreign/CUDA/Driver/Context.chs +145/−39
- Foreign/CUDA/Driver/Device.chs +55/−34
- Foreign/CUDA/Driver/Error.chs +16/−10
- Foreign/CUDA/Driver/Event.chs +16/−20
- Foreign/CUDA/Driver/Exec.chs +84/−32
- Foreign/CUDA/Driver/Marshal.chs +176/−31
- Foreign/CUDA/Driver/Module.chs +9/−10
- Foreign/CUDA/Driver/Stream.chs +9/−7
- Foreign/CUDA/Driver/Texture.chs +54/−35
- Foreign/CUDA/Driver/Utils.chs +2/−6
- Foreign/CUDA/Ptr.hs +1/−1
- Foreign/CUDA/Runtime.hs +13/−13
- Foreign/CUDA/Runtime/Device.chs +232/−49
- Foreign/CUDA/Runtime/Error.chs +15/−8
- Foreign/CUDA/Runtime/Event.chs +36/−10
- Foreign/CUDA/Runtime/Exec.chs +16/−18
- Foreign/CUDA/Runtime/Marshal.chs +19/−19
- Foreign/CUDA/Runtime/Stream.chs +6/−8
- Foreign/CUDA/Runtime/Texture.chs +8/−7
- Foreign/CUDA/Runtime/Thread.chs +29/−46
- Foreign/CUDA/Runtime/Utils.chs +2/−5
- Setup.hs +80/−2
- cbits/stubs.c +26/−0
- cbits/stubs.h +14/−0
- configure +4542/−4916
- configure.ac +14/−13
- cuda.cabal +9/−21
- examples/Makefile +0/−18
- examples/common/common.mk +0/−413
- examples/common/include/cudpp/LICENSE +0/−25
- examples/common/include/cudpp/cudpp_globals.h +0/−56
- examples/common/include/cudpp/shared_mem.h +0/−115
- examples/common/include/cudpp/type_vector.h +0/−51
- examples/common/include/operator.h +0/−114
- examples/common/include/utils.h +0/−146
- examples/common/src/C2HS.hs +0/−224
- examples/common/src/PrettyPrint.hs +0/−61
- examples/common/src/RandomVector.hs +0/−101
- examples/common/src/Time.hs +0/−52
- examples/common/src/cudpp/LICENSE +0/−25
- examples/common/src/cudpp/scan_cta.cu +0/−617
- examples/common/src/cudpp/scan_kernel.cu +0/−113
- examples/common/src/cudpp/vector_kernel.cu +0/−444
- examples/src/bandwidthTest/BandwidthTest.hs +0/−221
- examples/src/bandwidthTest/Makefile +0/−18
- examples/src/bandwidthTest/results/GT120.pdf binary
- examples/src/bandwidthTest/results/Tesla.pdf binary
- examples/src/fold/Fold.chs +0/−79
- examples/src/fold/Makefile +0/−18
- examples/src/fold/fold.cu +0/−223
- examples/src/fold/fold.h +0/−32
- examples/src/matrixMul/LICENSE +0/−187
- examples/src/matrixMul/Makefile +0/−18
- examples/src/matrixMul/MatrixMul.hs +0/−114
- examples/src/matrixMul/matrix_mul.cu +0/−110
- examples/src/matrixMul/matrix_mul.h +0/−33
- examples/src/matrixMulDrv/LICENSE +0/−187
- examples/src/matrixMulDrv/Makefile +0/−18
- examples/src/matrixMulDrv/MatrixMul.hs +0/−155
- examples/src/matrixMulDrv/matrix_mul.cu +0/−110
- examples/src/matrixMulDrv/matrix_mul.h +0/−33
- examples/src/scan/Makefile +0/−18
- examples/src/scan/Scan.chs +0/−112
- examples/src/scan/scan.cu +0/−204
- examples/src/scan/scan.h +0/−26
- examples/src/simpleTexture/Makefile +0/−18
- examples/src/simpleTexture/SimpleTexture.hs +0/−68
- examples/src/simpleTexture/data/lena_bw.pgm +0/−5
- examples/src/simpleTexture/data/ref_rotated.pgm +0/−5
- examples/src/simpleTexture/simpleTexture.cu +0/−47
- examples/src/smvm/Makefile +0/−20
- examples/src/smvm/SMVM.chs +0/−201
- examples/src/smvm/smvm-csr.cu +0/−246
- examples/src/smvm/smvm-cudpp.cu +0/−56
- examples/src/smvm/smvm.h +0/−33
- examples/src/smvm/texture.h +0/−94
- examples/src/sort/Makefile +0/−19
- examples/src/sort/Sort.chs +0/−98
- examples/src/sort/radix_sort.cu +0/−61
- examples/src/sort/sort.h +0/−23
- examples/src/vectorAddDrv/Makefile +0/−18
- examples/src/vectorAddDrv/VectorAdd.hs +0/−121
- examples/src/vectorAddDrv/vector_add.cu +0/−18
Foreign/CUDA.hs view
@@ -1,7 +1,7 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Top level bindings. By default, expose the C-for-CUDA runtime API bindings,
Foreign/CUDA/Analysis.hs view
@@ -1,20 +1,16 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Analysis--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Meta-module exporting CUDA analysis routines -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Analysis- (- module Foreign.CUDA.Analysis.Device,- module Foreign.CUDA.Analysis.Occupancy- )+module Foreign.CUDA.Analysis (module Analysis) where -import Foreign.CUDA.Analysis.Device-import Foreign.CUDA.Analysis.Occupancy+import Foreign.CUDA.Analysis.Device as Analysis+import Foreign.CUDA.Analysis.Occupancy as Analysis
Foreign/CUDA/Analysis/Device.chs view
@@ -1,7 +1,7 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Analysis.Device--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Common device functions@@ -11,7 +11,7 @@ module Foreign.CUDA.Analysis.Device ( Compute, ComputeMode(..),- DeviceProperties(..), DeviceResources(..), Allocation(..),+ DeviceProperties(..), DeviceResources(..), Allocation(..), PCI(..), resources ) where@@ -39,38 +39,65 @@ -- data DeviceProperties = DeviceProperties {- deviceName :: String, -- ^ Identifier- computeCapability :: Compute, -- ^ Supported compute capability- totalGlobalMem :: Int64, -- ^ Available global memory on the device in bytes- totalConstMem :: Int64, -- ^ Available constant memory on the device in bytes- sharedMemPerBlock :: Int64, -- ^ Available shared memory per block in bytes- regsPerBlock :: Int, -- ^ 32-bit registers per block- warpSize :: Int, -- ^ Warp size in threads (SIMD width)- maxThreadsPerBlock :: Int, -- ^ Max number of threads per block- maxBlockSize :: (Int,Int,Int), -- ^ Max size of each dimension of a block- maxGridSize :: (Int,Int,Int), -- ^ Max size of each dimension of a grid+ deviceName :: String, -- ^ Identifier+ computeCapability :: Compute, -- ^ Supported compute capability+ totalGlobalMem :: Int64, -- ^ Available global memory on the device in bytes+ totalConstMem :: Int64, -- ^ Available constant memory on the device in bytes+ sharedMemPerBlock :: Int64, -- ^ Available shared memory per block in bytes+ regsPerBlock :: Int, -- ^ 32-bit registers per block+ warpSize :: Int, -- ^ Warp size in threads (SIMD width)+ maxThreadsPerBlock :: Int, -- ^ Max number of threads per block+#if CUDA_VERSION >= 4000+ maxThreadsPerMultiProcessor :: Int, -- ^ Max number of threads per multiprocessor+#endif+ maxBlockSize :: (Int,Int,Int), -- ^ Max size of each dimension of a block+ maxGridSize :: (Int,Int,Int), -- ^ Max size of each dimension of a grid #if CUDA_VERSION >= 3000- maxTextureDim1D :: Int, -- ^ Maximum texture dimensions- maxTextureDim2D :: (Int,Int),- maxTextureDim3D :: (Int,Int,Int),+ maxTextureDim1D :: Int, -- ^ Maximum texture dimensions+ maxTextureDim2D :: (Int,Int),+ maxTextureDim3D :: (Int,Int,Int), #endif- clockRate :: Int, -- ^ Clock frequency in kilohertz- multiProcessorCount :: Int, -- ^ Number of multiprocessors on the device- memPitch :: Int64, -- ^ Max pitch in bytes allowed by memory copies- textureAlignment :: Int64, -- ^ Alignment requirement for textures- computeMode :: ComputeMode,- deviceOverlap :: Bool, -- ^ Device can concurrently copy memory and execute a kernel+ clockRate :: Int, -- ^ Clock frequency in kilohertz+ multiProcessorCount :: Int, -- ^ Number of multiprocessors on the device+ memPitch :: Int64, -- ^ Max pitch in bytes allowed by memory copies+#if CUDA_VERSION >= 4000+ memBusWidth :: Int, -- ^ Global memory bus width in bits+ memClockRate :: Int, -- ^ Peak memory clock frequency in kilohertz+#endif+ textureAlignment :: Int64, -- ^ Alignment requirement for textures+ computeMode :: ComputeMode,+ deviceOverlap :: Bool, -- ^ Device can concurrently copy memory and execute a kernel #if CUDA_VERSION >= 3000- concurrentKernels :: Bool, -- ^ Device can possibly execute multiple kernels concurrently- eccEnabled :: Bool, -- ^ Device supports and has enabled error correction+ concurrentKernels :: Bool, -- ^ Device can possibly execute multiple kernels concurrently+ eccEnabled :: Bool, -- ^ Device supports and has enabled error correction #endif- kernelExecTimeoutEnabled :: Bool, -- ^ Whether there is a runtime limit on kernels- integrated :: Bool, -- ^ As opposed to discrete- canMapHostMemory :: Bool -- ^ Device can use pinned memory+#if CUDA_VERSION >= 4000+ asyncEngineCount :: Int, -- ^ Number of asynchronous engines+ cacheMemL2 :: Int, -- ^ Size of the L2 cache in bytes+ tccDriverEnabled :: Bool, -- ^ Whether this is a Tesla device using the TCC driver+ pciInfo :: PCI, -- ^ PCI device information for the device+#endif+ kernelExecTimeoutEnabled :: Bool, -- ^ Whether there is a runtime limit on kernels+ integrated :: Bool, -- ^ As opposed to discrete+#if CUDA_VERSION >= 4000+ canMapHostMemory :: Bool, -- ^ Device can use pinned memory+ unifiedAddressing :: Bool -- ^ Device shares a unified address space with the host+#else+ canMapHostMemory :: Bool -- ^ Device can use pinned memory+#endif } deriving (Show) +data PCI = PCI+ {+ busID :: Int, -- ^ PCI bus ID of the device+ deviceID :: Int, -- ^ PCI device ID+ domainID :: Int -- ^ PCI domain ID+ }+ deriving (Show)++ -- GPU Hardware Resources -- data Allocation = Warp | Block@@ -90,15 +117,15 @@ -- |--- Extract some additional hardware resource limitations for a given device--- TLM: default to highest compute capability, when no specific data available?+-- Extract some additional hardware resource limitations for a given device. If+-- an exact match is not found, choose a sensible default. -- resources :: DeviceProperties -> DeviceResources-resources dev = fromMaybe err (lookup compute gpuData)+resources dev = fromMaybe def (lookup compute gpuData) where- compute = computeCapability dev- err = error $ "No data for device: "- ++ shows (deviceName dev) " (compute " ++ shows compute ")"+ compute = computeCapability dev+ def | compute < 1.0 = snd $ head gpuData+ | otherwise = snd $ last gpuData gpuData = [(1.0, DeviceResources 32 768 8 24 16384 512 8192 256 2 Block)@@ -106,6 +133,5 @@ ,(1.2, DeviceResources 32 1024 8 32 16384 512 16384 512 2 Block) ,(1.3, DeviceResources 32 1024 8 32 16384 512 16384 512 2 Block) ,(2.0, DeviceResources 32 1536 8 48 49152 128 32768 64 1 Warp)- ,(2.1, DeviceResources 32 1536 8 48 49152 128 32768 64 1 Warp) ]
Foreign/CUDA/Analysis/Occupancy.hs view
@@ -1,7 +1,7 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Analysis.Occupancy--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Occupancy calculations for CUDA kernels
Foreign/CUDA/Driver.hs view
@@ -1,32 +1,32 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Top level bindings to CUDA driver API -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Driver- (- module Foreign.CUDA.Ptr,- module Foreign.CUDA.Driver.Context,- module Foreign.CUDA.Driver.Device,- module Foreign.CUDA.Driver.Error,- module Foreign.CUDA.Driver.Exec,- module Foreign.CUDA.Driver.Marshal,- module Foreign.CUDA.Driver.Module,- module Foreign.CUDA.Driver.Utils- )- where+module Foreign.CUDA.Driver ( + module Foreign.CUDA.Ptr,+ module Foreign.CUDA.Driver.Context,+ module Foreign.CUDA.Driver.Device,+ module Foreign.CUDA.Driver.Error,+ module Foreign.CUDA.Driver.Exec,+ module Foreign.CUDA.Driver.Marshal,+ module Foreign.CUDA.Driver.Module,+ module Foreign.CUDA.Driver.Utils++) where+ import Foreign.CUDA.Ptr-import Foreign.CUDA.Driver.Context+import Foreign.CUDA.Driver.Context hiding ( device, useContext ) import Foreign.CUDA.Driver.Device import Foreign.CUDA.Driver.Error import Foreign.CUDA.Driver.Exec-import Foreign.CUDA.Driver.Marshal hiding (useDeviceHandle, peekDeviceHandle)+import Foreign.CUDA.Driver.Marshal hiding ( useDeviceHandle, peekDeviceHandle ) import Foreign.CUDA.Driver.Module import Foreign.CUDA.Driver.Utils
Foreign/CUDA/Driver/Context.chs view
@@ -1,39 +1,36 @@-{-# LANGUAGE ForeignFunctionInterface #-}+{-# LANGUAGE CPP, ForeignFunctionInterface, EmptyDataDecls #-} -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Context--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Context management for low-level driver interface -- -------------------------------------------------------------------------------- +module Foreign.CUDA.Driver.Context (++ -- * Context Management+ Context(..), ContextFlag(..),+ create, attach, detach, destroy, device, pop, push, sync, get, set,++ -- * Peer Access+ PeerFlag,+ accessible, add, remove,++ -- * Cache Configuration+ Cache(..), Limit(..),+ getLimit, setLimit, setCacheConfig++) where+ #include <cuda.h> #include "cbits/stubs.h" {# context lib="cuda" #} -module Foreign.CUDA.Driver.Context- (- Context, ContextFlag(..),-#if CUDA_VERSION >= 3010- Limit(..),-#endif-#if CUDA_VERSION >= 3020- Cache(..),-#endif- create, attach, detach, destroy, current, pop, push, sync,-#if CUDA_VERSION >= 3010- getLimit, setLimit-#endif-#if CUDA_VERSION >= 3020- , setCacheConfig-#endif- )- where- -- Friends-import Foreign.CUDA.Driver.Device+import Foreign.CUDA.Driver.Device (Device(..)) import Foreign.CUDA.Driver.Error import Foreign.CUDA.Internal.C2HS @@ -60,24 +57,41 @@ { underscoreToCase } with prefix="CU_CTX" deriving (Eq, Show) #} --#if CUDA_VERSION >= 3010 -- | -- Device limits flags --+#if CUDA_VERSION < 3010+data Limit+#else {# enum CUlimit_enum as Limit { underscoreToCase } with prefix="CU_LIMIT" deriving (Eq, Show) #} #endif-#if CUDA_VERSION >= 3020+ -- | -- Device cache configuration flags --+#if CUDA_VERSION < 3020+data Cache+#else {# enum CUfunc_cache_enum as Cache { underscoreToCase } with prefix="CU_FUNC_CACHE" deriving (Eq, Show) #} #endif +-- |+-- Possible option values for direct peer memory access+--+data PeerFlag+instance Enum PeerFlag where+++#if CUDA_VERSION >= 4000+{-# DEPRECATED attach, detach "deprecated as of CUDA-4.0" #-}+{-# DEPRECATED BlockingSync "use SchedBlockingSync instead" #-}+#endif++ -------------------------------------------------------------------------------- -- Context management --------------------------------------------------------------------------------@@ -130,10 +144,38 @@ -- |+-- Return the context bound to the calling CPU thread. Requires cuda-4.0.+--+get :: IO Context+#if CUDA_VERSION < 4000+get = requireSDK 4.0 "get"+#else+get = resultIfOk =<< cuCtxGetCurrent++{# fun unsafe cuCtxGetCurrent+ { alloca- `Context' peekCtx* } -> `Status' cToEnum #}+ where peekCtx = liftM Context . peek+#endif+++-- |+-- Bind the specified context to the calling thread. Requires cuda-4.0.+--+set :: Context -> IO ()+#if CUDA_VERSION < 4000+set _ = requireSDK 4.0 "set"+#else+set ctx = nothingIfOk =<< cuCtxSetCurrent ctx++{# fun unsafe cuCtxSetCurrent+ { useContext `Context' } -> `Status' cToEnum #}+#endif++-- | -- Return the device of the currently active context ---current :: IO Device-current = resultIfOk =<< cuCtxGetDevice+device :: IO Device+device = resultIfOk =<< cuCtxGetDevice {# fun unsafe cuCtxGetDevice { alloca- `Device' dev* } -> `Status' cToEnum #}@@ -142,8 +184,8 @@ -- | -- Pop the current CUDA context from the CPU thread. The context must have a--- single usage count (matching calls to attach/detach). If successful, the new--- context is returned, and the old may be attached to a different CPU.+-- single usage count (matching calls to 'attach' and 'detach'). If successful,+-- the new context is returned, and the old may be attached to a different CPU. -- pop :: IO Context pop = resultIfOk =<< cuCtxPopCurrent@@ -155,7 +197,7 @@ -- | -- Push the given context onto the CPU's thread stack of current contexts. The--- context must be floating (via `pop'), i.e. not attached to any thread.+-- context must be floating (via 'pop'), i.e. not attached to any thread. -- push :: Context -> IO () push ctx = nothingIfOk =<< cuCtxPushCurrent ctx@@ -175,37 +217,101 @@ --------------------------------------------------------------------------------+-- Peer access+--------------------------------------------------------------------------------++-- |+-- Queries if the first device can directly access the memory of the second. If+-- direct access is possible, it can then be enabled with 'add'. Requires+-- cuda-4.0.+--+accessible :: Device -> Device -> IO Bool+#if CUDA_VERSION < 4000+accessible _ _ = requireSDK 4.0 "accessible"+#else+accessible dev peer = resultIfOk =<< cuDeviceCanAccessPeer dev peer++{# fun unsafe cuDeviceCanAccessPeer+ { alloca- `Bool' peekBool*+ , useDevice `Device'+ , useDevice `Device' } -> `Status' cToEnum #}+#endif+++-- |+-- If the devices of both the current and supplied contexts support unified+-- addressing, then enable allocations in the supplied context to be accessible+-- by the current context. Requires cuda-4.0.+--+add :: Context -> [PeerFlag] -> IO ()+#if CUDA_VERSION < 4000+add _ _ = requireSDK 4.0 "add"+#else+add ctx flags = nothingIfOk =<< cuCtxEnablePeerAccess ctx flags++{# fun unsafe cuCtxEnablePeerAccess+ { useContext `Context'+ , combineBitMasks `[PeerFlag]' } -> `Status' cToEnum #}+#endif+++-- |+-- Disable direct memory access from the current context to the supplied+-- context. Requires cuda-4.0.+--+remove :: Context -> IO ()+#if CUDA_VERSION < 4000+remove _ = requireSDK 4.0 "remove"+#else+remove ctx = nothingIfOk =<< cuCtxDisablePeerAccess ctx++{# fun unsafe cuCtxDisablePeerAccess+ { useContext `Context' } -> `Status' cToEnum #}+#endif+++-------------------------------------------------------------------------------- -- Cache configuration -------------------------------------------------------------------------------- -#if CUDA_VERSION >= 3010 -- |--- Query compute 2.0 call stack limits+-- Query compute 2.0 call stack limits. Requires cuda-3.1. -- getLimit :: Limit -> IO Int+#if CUDA_VERSION < 3010+getLimit _ = requireSDK 3.1 "getLimit"+#else getLimit l = resultIfOk =<< cuCtxGetLimit l +{# fun unsafe cuCtxGetLimit+ { alloca- `Int' peekIntConv*+ , cFromEnum `Limit' } -> `Status' cToEnum #}+#endif+ -- |--- Specify the size of the call stack, for compute 2.0 devices+-- Specify the size of the call stack, for compute 2.0 devices. Requires+-- cuda-3.1. -- setLimit :: Limit -> Int -> IO ()+#if CUDA_VERSION < 3010+setLimit _ _ = requireSDK 3.1 "setLimit"+#else setLimit l n = nothingIfOk =<< cuCtxSetLimit l n -{# fun unsafe cuCtxGetLimit- { alloca- `Int' peekIntConv*- , cFromEnum `Limit' } -> `Status' cToEnum #}- {# fun unsafe cuCtxSetLimit { cFromEnum `Limit' , cIntConv `Int' } -> `Status' cToEnum #} #endif-#if CUDA_VERSION >= 3020+ -- | -- On devices where the L1 cache and shared memory use the same hardware -- resources, this sets the preferred cache configuration for the current--- context. This is only a preference.+-- context. This is only a preference. Requires cuda-3.2. -- setCacheConfig :: Cache -> IO ()+#if CUDA_VERSION < 3020+setCacheConfig _ = requireSDK 3.2 "setCacheConfig"+#else setCacheConfig c = nothingIfOk =<< cuCtxSetCacheConfig c {# fun unsafe cuCtxSetCacheConfig
Foreign/CUDA/Driver/Device.chs view
@@ -1,23 +1,23 @@-{-# LANGUAGE ForeignFunctionInterface, EmptyDataDecls #-}+{-# LANGUAGE CPP, ForeignFunctionInterface, EmptyDataDecls #-} -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Device--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Device management for low-level driver interface -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Driver.Device- (- Device(..), -- should be exported abstractly- DeviceProperties(..), DeviceAttribute(..), ComputeMode(..), InitFlag,+module Foreign.CUDA.Driver.Device ( - initialise, capability, device, attribute, count, name, props, totalMem- )- where+ -- * Device Management+ Device(..), -- should be exported abstractly+ DeviceProperties(..), DeviceAttribute(..), ComputeMode(..), InitFlag,+ initialise, capability, device, attribute, count, name, props, totalMem +) where+ #include <cuda.h> #include "cbits/stubs.h" {# context lib="cuda" #}@@ -108,7 +108,6 @@ -- exports actual option values. -- data InitFlag- instance Enum InitFlag where @@ -229,35 +228,57 @@ u32 <- attribute d MaximumTexture3dHeight u33 <- attribute d MaximumTexture3dDepth #endif+#if CUDA_VERSION >= 4000+ ae <- attribute d AsyncEngineCount+ l2 <- attribute d L2CacheSize+ tm <- attribute d MaxThreadsPerMultiprocessor+ mw <- attribute d GlobalMemoryBusWidth+ mc <- attribute d MemoryClockRate+ pb <- attribute d PciBusId+ pd <- attribute d PciDeviceId+ pm <- attribute d PciDomainId+ ua <- toBool `fmap` attribute d UnifiedAddressing+ tcc <- toBool `fmap` attribute d TccDriver+#endif return DeviceProperties {- deviceName = n,- computeCapability = cc,- totalGlobalMem = gm,- totalConstMem = cuTotalConstMem p,- sharedMemPerBlock = cuSharedMemPerBlock p,- regsPerBlock = cuRegsPerBlock p,- warpSize = cuWarpSize p,- maxThreadsPerBlock = cuMaxThreadsPerBlock p,- maxBlockSize = cuMaxBlockSize p,- maxGridSize = cuMaxGridSize p,- clockRate = cuClockRate p,- multiProcessorCount = pc,- memPitch = cuMemPitch p,- textureAlignment = cuTextureAlignment p,- computeMode = md,- deviceOverlap = ov,+ deviceName = n,+ computeCapability = cc,+ totalGlobalMem = gm,+ totalConstMem = cuTotalConstMem p,+ sharedMemPerBlock = cuSharedMemPerBlock p,+ regsPerBlock = cuRegsPerBlock p,+ warpSize = cuWarpSize p,+ maxThreadsPerBlock = cuMaxThreadsPerBlock p,+ maxBlockSize = cuMaxBlockSize p,+ maxGridSize = cuMaxGridSize p,+ clockRate = cuClockRate p,+ multiProcessorCount = pc,+ memPitch = cuMemPitch p,+ textureAlignment = cuTextureAlignment p,+ computeMode = md,+ deviceOverlap = ov, #if CUDA_VERSION >= 3000- concurrentKernels = ck,- eccEnabled = ee,- maxTextureDim1D = u1,- maxTextureDim2D = (u21,u22),- maxTextureDim3D = (u31,u32,u33),+ concurrentKernels = ck,+ eccEnabled = ee,+ maxTextureDim1D = u1,+ maxTextureDim2D = (u21,u22),+ maxTextureDim3D = (u31,u32,u33), #endif- kernelExecTimeoutEnabled = ke,- integrated = tg,- canMapHostMemory = hm+#if CUDA_VERSION >= 4000+ asyncEngineCount = ae,+ cacheMemL2 = l2,+ maxThreadsPerMultiProcessor = tm,+ memBusWidth = mw,+ memClockRate = mc,+ pciInfo = PCI pb pd pm,+ tccDriverEnabled = tcc,+ unifiedAddressing = ua,+#endif+ kernelExecTimeoutEnabled = ke,+ integrated = tg,+ canMapHostMemory = hm }
Foreign/CUDA/Driver/Error.chs view
@@ -2,7 +2,7 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Error--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Error handling@@ -82,6 +82,17 @@ #if CUDA_VERSION >= 3020 describe OperatingSystem = "operating system call failed" #endif+#if CUDA_VERSION >= 4000+describe ProfilerDisabled = "profiling APIs disabled: application running with visual profiler"+describe ProfilerNotInitialized = "profiler not initialised"+describe ProfilerAlreadyStarted = "profiler already started"+describe ProfilerAlreadyStopped = "profiler already stopped"+describe ContextAlreadyInUse = "context is already bound to a thread and in use"+describe PeerAccessAlreadyEnabled = "peer access already enabled"+describe PeerAccessNotEnabled = "peer access has not been enabled"+describe PrimaryContextActive = "primary context for this device has already been initialised"+describe ContextIsDestroyed = "context already destroyed"+#endif describe Unknown = "unknown error" @@ -107,17 +118,12 @@ cudaError :: String -> IO a cudaError s = throwIO (UserError s) - -- |--- Run a CUDA computation+-- A specially formatted error message ---{--runCUDA f = runEMT $ do- f `catchWithSrcLoc` \l e -> lift (handle l e)- where- handle :: CallTrace -> CUDAException -> IO ()- handle l e = putStrLn $ showExceptionWithTrace l e--}+requireSDK :: Double -> String -> IO a+requireSDK v s = cudaError ("'" ++ s ++ "' requires at least cuda-" ++ show v)+ -------------------------------------------------------------------------------- -- Helper Functions
Foreign/CUDA/Driver/Event.chs view
@@ -1,30 +1,26 @@-{-# LANGUAGE ForeignFunctionInterface, EmptyDataDecls #-}+{-# LANGUAGE CPP, ForeignFunctionInterface, EmptyDataDecls #-} -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Event--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Event management for low-level driver interface -- -------------------------------------------------------------------------------- +module Foreign.CUDA.Driver.Event (++ -- * Event Management+ Event, EventFlag(..), WaitFlag,+ create, destroy, elapsedTime, query, record, wait, block++) where+ #include <cuda.h>+#include "cbits/stubs.h" {# context lib="cuda" #} -module Foreign.CUDA.Driver.Event- (- Event, EventFlag(..),-#if CUDA_VERSION >= 3020- WaitFlag,-#endif- create, destroy, elapsedTime, query, record, block-#if CUDA_VERSION >= 3020- , wait-#endif- )- where- -- Friends import Foreign.CUDA.Internal.C2HS import Foreign.CUDA.Driver.Error@@ -45,7 +41,6 @@ -- newtype Event = Event { useEvent :: {# type CUevent #}} - -- | -- Event creation flags --@@ -53,7 +48,6 @@ { underscoreToCase } with prefix="CU_EVENT" deriving (Eq, Show) #} - -- | -- Possible option flags for waiting for events --@@ -129,12 +123,14 @@ , useStream `Stream' } -> `Status' cToEnum #} -#if CUDA_VERSION >= 3020 -- |--- Marks all future work submitted to the (optional) stream wait until the given--- event reports completion before beginning execution.+-- Makes all future work submitted to the (optional) stream wait until the given+-- event reports completion before beginning execution. Requires cuda-3.2. -- wait :: Event -> Maybe Stream -> [WaitFlag] -> IO ()+#if CUDA_VERSION < 3020+wait _ _ _ = requireSDK 3.2 "wait"+#else wait ev mst flags = nothingIfOk =<< case mst of Just st -> cuStreamWaitEvent st ev flags
Foreign/CUDA/Driver/Exec.chs view
@@ -1,31 +1,26 @@-{-# LANGUAGE GADTs, ForeignFunctionInterface #-}+{-# LANGUAGE GADTs, CPP, ForeignFunctionInterface, EmptyDataDecls #-} -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Exec--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Kernel execution control for low-level driver interface -- -------------------------------------------------------------------------------- +module Foreign.CUDA.Driver.Exec (++ -- * Kernel Execution+ Fun(Fun), FunParam(..), FunAttribute(..), CacheConfig(..),+ requires, setBlockShape, setSharedSize, setParams, setCacheConfigFun,+ launch, launchKernel++) where+ #include <cuda.h> {# context lib="cuda" #} -module Foreign.CUDA.Driver.Exec- (- Fun(Fun), FunParam(..), FunAttribute(..),-#if CUDA_VERSION >= 3000- CacheConfig(..),-#endif- requires, setBlockShape, setSharedSize, setParams,-#if CUDA_VERSION >= 3000- setCacheConfigFun,-#endif- launch- )- where- -- Friends import Foreign.CUDA.Internal.C2HS import Foreign.CUDA.Driver.Error@@ -35,9 +30,19 @@ -- System import Foreign import Foreign.C+import Data.Maybe import Control.Monad (zipWithM_) +#if CUDA_VERSION >= 3020+{-# DEPRECATED TArg "as of CUDA version 3.2" #-}+#endif+#if CUDA_VERSION >= 4000+{-# DEPRECATED setBlockShape, setSharedSize, setParams, launch+ "use launchKernel instead" #-}+#endif++ -------------------------------------------------------------------------------- -- Data Types --------------------------------------------------------------------------------@@ -56,10 +61,12 @@ , MAX_THREADS_PER_BLOCK as MaxKernelThreadsPerBlock } with prefix="CU_FUNC_ATTRIBUTE" deriving (Eq, Show) #} -#if CUDA_VERSION >= 3000 -- | -- Cache configuration preference --+#if CUDA_VERSION < 3000+data CacheConfig+#else {# enum CUfunc_cache_enum as CacheConfig { underscoreToCase } with prefix="CU_FUNC_CACHE_PREFER" deriving (Eq, Show) #}@@ -69,9 +76,9 @@ -- Kernel function parameters -- data FunParam where- IArg :: Int -> FunParam- FArg :: Float -> FunParam- TArg :: Texture -> FunParam -- deprecated+ IArg :: Int -> FunParam+ FArg :: Float -> FunParam+ TArg :: Texture -> FunParam VArg :: Storable a => a -> FunParam @@ -92,8 +99,8 @@ -- |--- Specify the (x,y,z) dimensions of the thread blocks that are created when the--- given kernel function is lanched+-- Specify the @(x,y,z)@ dimensions of the thread blocks that are created when+-- the given kernel function is launched. -- setBlockShape :: Fun -> (Int,Int,Int) -> IO () setBlockShape fn (x,y,z) = nothingIfOk =<< cuFuncSetBlockShape fn x y z@@ -116,7 +123,7 @@ { useFun `Fun' , cIntConv `Integer' } -> `Status' cToEnum #} -#if CUDA_VERSION >= 3000+ -- | -- On devices where the L1 cache and shared memory use the same hardware -- resources, this sets the preferred cache configuration for the given device@@ -127,6 +134,9 @@ -- synchronisation point for streamed kernel launches. -- setCacheConfigFun :: Fun -> CacheConfig -> IO ()+#if CUDA_VERSION < 3000+setCacheConfigFun _ _ = requireSDK 3.0 "setCacheConfigFun"+#else setCacheConfigFun fn pref = nothingIfOk =<< cuFuncSetCacheConfig fn pref {# fun unsafe cuFuncSetCacheConfig@@ -135,9 +145,9 @@ #endif -- |--- Invoke the kernel on a size (w,h) grid of blocks. Each block contains the--- number of threads specified by a previous call to `setBlockShape'. The launch--- may also be associated with a specific `Stream'.+-- Invoke the kernel on a size @(w,h)@ grid of blocks. Each block contains the+-- number of threads specified by a previous call to 'setBlockShape'. The launch+-- may also be associated with a specific 'Stream'. -- launch :: Fun -> (Int,Int) -> Maybe Stream -> IO () launch fn (w,h) mst =@@ -152,6 +162,54 @@ , useStream `Stream' } -> `Status' cToEnum #} +-- |+-- Invoke a kernel on a @(gx * gy * gz)@ grid of blocks, where each block+-- contains @(tx * ty * tz)@ threads and has access to a given number of bytes+-- of shared memory. The launch may also be associated with a specific 'Stream'.+--+launchKernel+ :: Fun -- ^ function to execute+ -> (Int,Int,Int) -- ^ block grid dimension+ -> (Int,Int,Int) -- ^ thread block shape+ -> Int -- ^ shared memory (bytes)+ -> Maybe Stream -- ^ (optional) stream to execute in+ -> [FunParam] -- ^ list of function parameters+ -> IO ()+#if CUDA_VERSION >= 4000+launchKernel fn (gx,gy,gz) (tx,ty,tz) sm mst args+ = (=<<) nothingIfOk+ $ withMany withFP args+ $ \pa -> withArray pa+ $ \pp -> cuLaunchKernel fn gx gy gz tx ty tz sm st pp nullPtr+ where+ st = fromMaybe (Stream nullPtr) mst++ withFP :: FunParam -> (Ptr FunParam -> IO b) -> IO b+ withFP p f = case p of+ IArg v -> with v (f . castPtr)+ FArg v -> with v (f . castPtr)+ VArg v -> with v (f . castPtr)+ TArg _ -> error "launchKernel: TArg is deprecated"+++{# fun unsafe cuLaunchKernel+ { useFun `Fun'+ , `Int', `Int', `Int'+ , `Int', `Int', `Int'+ , `Int'+ , useStream `Stream'+ , castPtr `Ptr (Ptr FunParam)'+ , castPtr `Ptr (Ptr ())' } -> `Status' cToEnum #}++#else+launchKernel fn (gx,gy,_) (tx,ty,tz) sm mst args = do+ setParams fn args+ setSharedSize fn (toInteger sm)+ setBlockShape fn (tx,ty,tz)+ launch fn (gx,gy) mst+#endif++ -------------------------------------------------------------------------------- -- Kernel function parameters --------------------------------------------------------------------------------@@ -173,11 +231,7 @@ set f o (IArg v) = nothingIfOk =<< cuParamSeti f o v set f o (FArg v) = nothingIfOk =<< cuParamSetf f o v-#if CUDA_VERSION < 3020 set f _ (TArg v) = nothingIfOk =<< cuParamSetTexRef f (-1) v-#else- set _ _ (TArg _) = return ()-#endif set f o (VArg v) = with v $ \p -> (nothingIfOk =<< cuParamSetv f o p (sizeOf v)) @@ -202,10 +256,8 @@ , castPtr `Ptr a' , `Int' } -> `Status' cToEnum #} -#if CUDA_VERSION < 3020 {# fun unsafe cuParamSetTexRef { useFun `Fun' , `Int' -- must be CU_PARAM_TR_DEFAULT (-1) , useTexture `Texture' } -> `Status' cToEnum #}-#endif
Foreign/CUDA/Driver/Marshal.chs view
@@ -1,39 +1,43 @@-{-# LANGUAGE ForeignFunctionInterface #-}+{-# LANGUAGE CPP, ForeignFunctionInterface #-}+{-# OPTIONS_HADDOCK prune #-} -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Marshal--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Memory management for low-level driver interface -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Driver.Marshal- (- -- * Host Allocation- AllocFlag(..), mallocHostArray, freeHost,+module Foreign.CUDA.Driver.Marshal ( - -- * Device Allocation- mallocArray, allocaArray, free,+ -- * Host Allocation+ AllocFlag(..),+ mallocHostArray, freeHost, registerArray, unregisterArray, - -- * Marshalling- peekArray, peekArrayAsync, peekListArray,- pokeArray, pokeArrayAsync, pokeListArray,- copyArrayAsync,+ -- * Device Allocation+ mallocArray, allocaArray, free, - -- * Combined Allocation and Marshalling- newListArray, newListArrayLen,- withListArray, withListArrayLen,+ -- * Marshalling+ peekArray, peekArrayAsync, peekListArray,+ pokeArray, pokeArrayAsync, pokeListArray,+ copyArrayAsync,+ copyArrayPeer, copyArrayPeerAsync, - -- * Utility- memset, getDevicePtr, getBasePtr, getMemInfo,+ -- * Combined Allocation and Marshalling+ newListArray, newListArrayLen,+ withListArray, withListArrayLen, - -- Internal- useDeviceHandle, peekDeviceHandle- )- where+ -- * Utility+ memset, memsetAsync,+ getDevicePtr, getBasePtr, getMemInfo, + -- Internal+ useDeviceHandle, peekDeviceHandle++) where+ #include <cuda.h> #include "cbits/stubs.h" {# context lib="cuda" #}@@ -42,10 +46,12 @@ import Foreign.CUDA.Ptr import Foreign.CUDA.Driver.Error import Foreign.CUDA.Driver.Stream (Stream(..))+import Foreign.CUDA.Driver.Context (Context(..)) import Foreign.CUDA.Internal.C2HS -- System import Data.Int+import Data.Maybe import Unsafe.Coerce import Control.Applicative import Control.Exception.Extensible@@ -53,7 +59,7 @@ import Foreign.C import Foreign.Ptr import Foreign.Storable-import qualified Foreign.Marshal as F+import qualified Foreign.Marshal as F #c typedef enum CUmemhostalloc_option_enum {@@ -111,6 +117,56 @@ useHP = castPtr . useHostPtr +-- |+-- Page-locks the specified array (on the host) and maps it for the device(s) as+-- specified by the given allocation flags. Subsequently, the memory is accessed+-- directly by the device so can be read and written with much higher bandwidth+-- than pageable memory that has not been registered. The memory range is added+-- to the same tracking mechanism as 'mallocHostArray' to automatically+-- accelerate calls to functions such as 'pokeArray'.+--+-- Note that page-locking excessive amounts of memory may degrade system+-- performance, since it reduces the amount of pageable memory available. This+-- is best used sparingly to allocate staging areas for data exchange.+--+-- This function is not yet implemented on Mac OS X. Requires cuda-4.0.+--+registerArray :: Storable a => [AllocFlag] -> Int -> Ptr a -> IO (HostPtr a)+#if CUDA_VERSION < 4000+registerArray _ _ = requireSDK 4.0 "registerArray"+#else+registerArray flags n = go undefined+ where+ go :: Storable b => b -> Ptr b -> IO (HostPtr b)+ go x p = do+ status <- cuMemHostRegister p (n * sizeOf x) flags+ resultIfOk (status,HostPtr p)++{# fun unsafe cuMemHostRegister+ { castPtr `Ptr a'+ , `Int'+ , combineBitMasks `[AllocFlag]' } -> `Status' cToEnum #}+#endif+++-- |+-- Unmaps the memory from the given pointer, and makes it pageable again.+--+-- This function is not yet implemented on Mac OS X. Requires cuda-4.0.+--+unregisterArray :: HostPtr a -> IO (Ptr a)+#if CUDA_VERSION < 4000+unregisterArray _ = requireSDK 4.0 "unregisterArray"+#else+unregisterArray (HostPtr p) = do+ status <- cuMemHostUnregister p+ resultIfOk (status,p)++{# fun unsafe cuMemHostUnregister+ { castPtr `Ptr a' } -> `Status' cToEnum #}+#endif++ -------------------------------------------------------------------------------- -- Device Allocation --------------------------------------------------------------------------------@@ -184,10 +240,7 @@ peekArrayAsync n dptr hptr mst = doPeek undefined dptr where doPeek :: Storable a' => a' -> DevicePtr a' -> IO ()- doPeek x _ =- nothingIfOk =<< case mst of- Nothing -> cuMemcpyDtoHAsync hptr dptr (n * sizeOf x) (Stream nullPtr)- Just st -> cuMemcpyDtoHAsync hptr dptr (n * sizeOf x) st+ doPeek x _ = nothingIfOk =<< cuMemcpyDtoHAsync hptr dptr (n * sizeOf x) (fromMaybe (Stream nullPtr) mst) {# fun unsafe cuMemcpyDtoHAsync { useHP `HostPtr a'@@ -233,10 +286,7 @@ pokeArrayAsync n hptr dptr mst = dopoke undefined dptr where dopoke :: Storable a' => a' -> DevicePtr a' -> IO ()- dopoke x _ =- nothingIfOk =<< case mst of- Nothing -> cuMemcpyHtoDAsync dptr hptr (n * sizeOf x) (Stream nullPtr)- Just st -> cuMemcpyHtoDAsync dptr hptr (n * sizeOf x) st+ dopoke x _ = nothingIfOk =<< cuMemcpyHtoDAsync dptr hptr (n * sizeOf x) (fromMaybe (Stream nullPtr) mst) {# fun unsafe cuMemcpyHtoDAsync { useDeviceHandle `DevicePtr a'@@ -274,6 +324,65 @@ , `Int' } -> `Status' cToEnum #} +-- |+-- Copies an array from device memory in one context to device memory in another+-- context. Note that this function is asynchronous with respect to the host,+-- but serialised with respect to all pending and future asynchronous work in+-- the source and destination contexts. To avoid this synchronisation, use+-- 'copyArrayPeerAsync' instead.+--+copyArrayPeer :: Storable a+ => Int -- ^ number of array elements+ -> DevicePtr a -> Context -- ^ source array and context+ -> DevicePtr a -> Context -- ^ destination array and context+ -> IO ()+#if CUDA_VERSION < 4000+copyArrayPeer _ _ _ _ _ = requireSDK 4.0 "copyArrayPeer"+#else+copyArrayPeer n src srcCtx dst dstCtx = go undefined src dst+ where+ go :: Storable b => b -> DevicePtr b -> DevicePtr b -> IO ()+ go x _ _ = nothingIfOk =<< cuMemcpyPeer dst dstCtx src srcCtx (n * sizeOf x)++{# fun unsafe cuMemcpyPeer+ { useDeviceHandle `DevicePtr a'+ , useContext `Context'+ , useDeviceHandle `DevicePtr a'+ , useContext `Context'+ , `Int' } -> `Status' cToEnum #}+#endif+++-- |+-- Copies from device memory in one context to device memory in another context.+-- Note that this function is asynchronous with respect to the host and all work+-- in other streams and devices.+--+copyArrayPeerAsync :: Storable a+ => Int -- ^ number of array elements+ -> DevicePtr a -> Context -- ^ source array and context+ -> DevicePtr a -> Context -- ^ destination array and device context+ -> Maybe Stream -- ^ stream to associate with+ -> IO ()+#if CUDA_VERSION < 4000+copyArrayPeerAsync _ _ _ _ _ _ = requireSDK 4.0 "copyArrayPeerAsync"+#else+copyArrayPeerAsync n src srcCtx dst dstCtx st = go undefined src dst+ where+ go :: Storable b => b -> DevicePtr b -> DevicePtr b -> IO ()+ go x _ _ = nothingIfOk =<< cuMemcpyPeerAsync dst dstCtx src srcCtx (n * sizeOf x) stream+ stream = fromMaybe (Stream nullPtr) st++{# fun unsafe cuMemcpyPeerAsync+ { useDeviceHandle `DevicePtr a'+ , useContext `Context'+ , useDeviceHandle `DevicePtr a'+ , useContext `Context'+ , `Int'+ , useStream `Stream' } -> `Status' cToEnum #}+#endif++ -------------------------------------------------------------------------------- -- Combined Allocation and Marshalling --------------------------------------------------------------------------------@@ -363,6 +472,43 @@ -- |+-- Set the number of data elements to the specified value, which may be either+-- 8-, 16-, or 32-bits wide. The operation is asynchronous and may optionally be+-- associated with a stream. Requires cuda-3.2.+--+memsetAsync :: Storable a => DevicePtr a -> Int -> a -> Maybe Stream -> IO ()+#if CUDA_VERSION < 3020+memsetAsync _ _ _ _ = requireSDK 3.2 "memsetAsync"+#else+memsetAsync dptr n val mst = case sizeOf val of+ 1 -> nothingIfOk =<< cuMemsetD8Async dptr val n stream+ 2 -> nothingIfOk =<< cuMemsetD16Async dptr val n stream+ 4 -> nothingIfOk =<< cuMemsetD32Async dptr val n stream+ _ -> cudaError "can only memset 8-, 16-, and 32-bit values"+ where+ stream = fromMaybe (Stream nullPtr) mst++{# fun unsafe cuMemsetD8Async+ { useDeviceHandle `DevicePtr a'+ , unsafeCoerce `a'+ , `Int'+ , useStream `Stream' } -> `Status' cToEnum #}++{# fun unsafe cuMemsetD16Async+ { useDeviceHandle `DevicePtr a'+ , unsafeCoerce `a'+ , `Int'+ , useStream `Stream' } -> `Status' cToEnum #}++{# fun unsafe cuMemsetD32Async+ { useDeviceHandle `DevicePtr a'+ , unsafeCoerce `a'+ , `Int'+ , useStream `Stream' } -> `Status' cToEnum #}+#endif+++-- | -- Return the device pointer associated with a mapped, pinned host buffer, which -- was allocated with the 'DeviceMapped' option by 'mallocHostArray'. --@@ -394,7 +540,6 @@ where alloca' :: Storable a => (Ptr a -> IO b) -> IO b alloca' = F.alloca- -- | -- Return the amount of free and total memory respectively available to the
Foreign/CUDA/Driver/Module.chs view
@@ -2,22 +2,21 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Module--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Module management for low-level driver interface -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Driver.Module- (- Module,- JITOption(..), JITTarget(..), JITResult(..),- getFun, getPtr, getTex,- loadFile, loadData, loadDataEx, unload- )- where+module Foreign.CUDA.Driver.Module ( + -- * Module Management+ Module, JITOption(..), JITTarget(..), JITResult(..),+ getFun, getPtr, getTex, loadFile, loadData, loadDataEx, unload++) where+ #include <cuda.h> #include "cbits/stubs.h" {# context lib="cuda" #}@@ -38,7 +37,7 @@ import Control.Monad (liftM) import Control.Exception.Extensible (throwIO) import Data.ByteString.Char8 (ByteString)-import qualified Data.ByteString.Char8 as B+import qualified Data.ByteString.Char8 as B --------------------------------------------------------------------------------
Foreign/CUDA/Driver/Stream.chs view
@@ -2,21 +2,23 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Stream--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Stream management for low-level driver interface -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Driver.Stream- (- Stream(..), StreamFlag,- create, destroy, finished, block- )- where+module Foreign.CUDA.Driver.Stream ( + -- * Stream Management+ Stream(..), StreamFlag,+ create, destroy, finished, block++) where+ #include <cuda.h>+#include "cbits/stubs.h" {# context lib="cuda" #} -- Friends
Foreign/CUDA/Driver/Texture.chs view
@@ -1,33 +1,33 @@ {-# LANGUAGE ForeignFunctionInterface #-}+{-# OPTIONS_HADDOCK prune #-} -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Texture--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Texture management for low-level driver interface -- -------------------------------------------------------------------------------- +module Foreign.CUDA.Driver.Texture (++ -- * Texture Reference Management+ Texture(..), Format(..), AddressMode(..), FilterMode(..), ReadMode(..),+ create, destroy,+ bind, bind2D,+ getAddressMode, getFilterMode, getFormat,+ setAddressMode, setFilterMode, setFormat, setReadMode,++ -- Internal+ peekTex++) where+ #include <cuda.h> #include "cbits/stubs.h" {# context lib="cuda" #} -module Foreign.CUDA.Driver.Texture- (- Texture(..), Format(..), AddressMode(..), FilterMode(..), ReadMode(..),-#if CUDA_VERSION < 3020- create, destroy,-#endif- bind, bind2D,- getAddressMode, getFilterMode, getFormat,- setAddressMode, setFilterMode, setFormat, setReadMode,-- -- Internal- peekTex- )- where- -- Friends import Foreign.CUDA.Ptr import Foreign.CUDA.Driver.Error@@ -39,12 +39,17 @@ import Foreign.C import Control.Monad +#if CUDA_VERSION >= 3020+{-# DEPRECATED create, destroy "as of CUDA version 3.2" #-}+#endif + -------------------------------------------------------------------------------- -- Data Types -------------------------------------------------------------------------------- --- |A texture reference+-- |+-- A texture reference -- newtype Texture = Texture { useTexture :: {# type CUtexref #}} @@ -54,19 +59,22 @@ peek p = Texture `fmap` peek (castPtr p) poke p t = poke (castPtr p) (useTexture t) --- |Texture reference addressing modes+-- |+-- Texture reference addressing modes -- {# enum CUaddress_mode as AddressMode { underscoreToCase } with prefix="CU_TR_ADDRESS_MODE" deriving (Eq, Show) #} --- |Texture reference filtering mode+-- |+-- Texture reference filtering mode -- {# enum CUfilter_mode as FilterMode { underscoreToCase } with prefix="CU_TR_FILTER_MODE" deriving (Eq, Show) #} --- |Texture read mode options+-- |+-- Texture read mode options -- #c typedef enum CUtexture_flag_enum {@@ -79,7 +87,8 @@ { underscoreToCase } with prefix="CU_TEXTURE_FLAG" deriving (Eq, Show) #} --- |Texture data formats+-- |+-- Texture data formats -- {# enum CUarray_format as Format { underscoreToCase@@ -96,8 +105,8 @@ -- Texture management -------------------------------------------------------------------------------- -#if CUDA_VERSION < 3020--- |Create a new texture reference. Once created, the application must call+-- |+-- Create a new texture reference. Once created, the application must call -- 'setPtr' to associate the reference with allocated memory. Other texture -- reference functions are used to specify the format and interpretation to be -- used when the memory is read through this reference.@@ -109,16 +118,18 @@ { alloca- `Texture' peekTex* } -> `Status' cToEnum #} --- |Destroy a texture reference+-- |+-- Destroy a texture reference -- destroy :: Texture -> IO () destroy tex = nothingIfOk =<< cuTexRefDestroy tex {# fun unsafe cuTexRefDestroy { useTexture `Texture' } -> `Status' cToEnum #}-#endif --- |Bind a linear array address of the given size (bytes) as a texture++-- |+-- Bind a linear array address of the given size (bytes) as a texture -- reference. Any previously bound references are unbound. -- bind :: Texture -> DevicePtr a -> Int64 -> IO ()@@ -131,7 +142,8 @@ , `Int64' } -> `Status' cToEnum #} --- |Bind a linear address range to the given texture reference as a+-- |+-- Bind a linear address range to the given texture reference as a -- two-dimensional arena. Any previously bound reference is unbound. Note that -- calls to 'setFormat' can not follow a call to 'bind2D' for the same texture -- reference.@@ -150,7 +162,8 @@ , `Int64' } -> `Status' cToEnum #} --- |Get the addressing mode used by a texture reference, corresponding to the+-- |+-- Get the addressing mode used by a texture reference, corresponding to the -- given dimension (currently the only supported dimension values are 0 or 1). -- getAddressMode :: Texture -> Int -> IO AddressMode@@ -162,7 +175,8 @@ , `Int' } -> `Status' cToEnum #} --- |Get the filtering mode used by a texture reference+-- |+-- Get the filtering mode used by a texture reference -- getFilterMode :: Texture -> IO FilterMode getFilterMode tex = resultIfOk =<< cuTexRefGetFilterMode tex@@ -172,7 +186,8 @@ , useTexture `Texture' } -> `Status' cToEnum #} --- |Get the data format and number of channel components of the bound texture+-- |+-- Get the data format and number of channel components of the bound texture -- getFormat :: Texture -> IO (Format, Int) getFormat tex = do@@ -185,7 +200,8 @@ , useTexture `Texture' } -> `Status' cToEnum #} --- |Specify the addressing mode for the given dimension of a texture reference+-- |+-- Specify the addressing mode for the given dimension of a texture reference -- setAddressMode :: Texture -> Int -> AddressMode -> IO () setAddressMode tex dim mode = nothingIfOk =<< cuTexRefSetAddressMode tex dim mode@@ -196,7 +212,8 @@ , cFromEnum `AddressMode' } -> `Status' cToEnum #} --- |Specify the filtering mode to be used when reading memory through a texture+-- |+-- Specify the filtering mode to be used when reading memory through a texture -- reference -- setFilterMode :: Texture -> FilterMode -> IO ()@@ -207,7 +224,8 @@ , cFromEnum `FilterMode' } -> `Status' cToEnum #} --- |Specify additional characteristics for reading and indexing the texture+-- |+-- Specify additional characteristics for reading and indexing the texture -- reference -- setReadMode :: Texture -> ReadMode -> IO ()@@ -218,8 +236,9 @@ , cFromEnum `ReadMode' } -> `Status' cToEnum #} --- |Specify the format of the data and number of packed components per element--- to be read by the texture reference+-- |+-- Specify the format of the data and number of packed components per element to+-- be read by the texture reference -- setFormat :: Texture -> Format -> Int -> IO () setFormat tex fmt chn = nothingIfOk =<< cuTexRefSetFormat tex fmt chn
Foreign/CUDA/Driver/Utils.chs view
@@ -2,22 +2,18 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Utils--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Utility functions -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Driver.Utils- (- driverVersion- )+module Foreign.CUDA.Driver.Utils (driverVersion) where #include <cuda.h> {# context lib="cuda" #}- -- Friends import Foreign.CUDA.Driver.Error
Foreign/CUDA/Ptr.hs view
@@ -1,7 +1,7 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Ptr--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- A common interface for host and device pointers. While it is possible mix the
Foreign/CUDA/Runtime.hs view
@@ -1,30 +1,30 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Runtime--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Top level bindings to the C-for-CUDA runtime API -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Runtime- (- module Foreign.CUDA.Ptr,- module Foreign.CUDA.Runtime.Device,- module Foreign.CUDA.Runtime.Error,- module Foreign.CUDA.Runtime.Exec,- module Foreign.CUDA.Runtime.Marshal,- module Foreign.CUDA.Runtime.Thread,- module Foreign.CUDA.Runtime.Utils- )- where+module Foreign.CUDA.Runtime ( + module Foreign.CUDA.Ptr,+ module Foreign.CUDA.Runtime.Device,+ module Foreign.CUDA.Runtime.Error,+ module Foreign.CUDA.Runtime.Exec,+ module Foreign.CUDA.Runtime.Marshal,+ module Foreign.CUDA.Runtime.Thread,+ module Foreign.CUDA.Runtime.Utils++) where+ import Foreign.CUDA.Ptr import Foreign.CUDA.Runtime.Device import Foreign.CUDA.Runtime.Error import Foreign.CUDA.Runtime.Exec import Foreign.CUDA.Runtime.Marshal-import Foreign.CUDA.Runtime.Thread+import Foreign.CUDA.Runtime.Thread ( exit ) import Foreign.CUDA.Runtime.Utils
Foreign/CUDA/Runtime/Device.chs view
@@ -1,23 +1,30 @@-{-# LANGUAGE ForeignFunctionInterface #-}+{-# LANGUAGE CPP, ForeignFunctionInterface, EmptyDataDecls #-} -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Runtime.Device--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Device management routines -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Runtime.Device- (- ComputeMode(..), DeviceFlag(..), DeviceProperties(..),+module Foreign.CUDA.Runtime.Device ( - -- ** Device management- choose, get, count, props, set, setFlags, setOrder- )- where+ -- * Device Management+ ComputeMode(..), Device, DeviceFlag(..), DeviceProperties(..),+ choose, get, count, props, set, setFlags, setOrder, reset, sync, + -- * Peer Access+ PeerFlag,+ accessible, add, remove,++ -- * Cache Configuration+ Limit(..),+ getLimit, setLimit++) where+ #include <cuda_runtime_api.h> {# context lib="cudart" #} @@ -52,8 +59,12 @@ -- Data Types -------------------------------------------------------------------------------- -{# pointer *cudaDeviceProp as ^ foreign -> DeviceProperties nocode #}+-- |+-- A device identifier+--+type Device = Int +{# pointer *cudaDeviceProp as ^ foreign -> DeviceProperties nocode #} -- | -- Device execution flags@@ -92,6 +103,18 @@ #if CUDART_VERSION >= 3010 ee <- cToBool `fmap` {#get cudaDeviceProp.ECCEnabled#} p #endif+#if CUDART_VERSION >= 4000+ ae <- cIntConv `fmap` {#get cudaDeviceProp.asyncEngineCount#} p+ l2 <- cIntConv `fmap` {#get cudaDeviceProp.l2CacheSize#} p+ tm <- cIntConv `fmap` {#get cudaDeviceProp.maxThreadsPerMultiProcessor#} p+ mw <- cIntConv `fmap` {#get cudaDeviceProp.memoryBusWidth#} p+ mc <- cIntConv `fmap` {#get cudaDeviceProp.memoryClockRate#} p+ pb <- cIntConv `fmap` {#get cudaDeviceProp.pciBusID#} p+ pd <- cIntConv `fmap` {#get cudaDeviceProp.pciDeviceID#} p+ pm <- cIntConv `fmap` {#get cudaDeviceProp.pciDomainID#} p+ tc <- cToBool `fmap` {#get cudaDeviceProp.tccDriver#} p+ ua <- cToBool `fmap` {#get cudaDeviceProp.unifiedAddressing#} p+#endif -- -- C->Haskell returns the wrong type when accessing static arrays in@@ -108,49 +131,61 @@ return DeviceProperties {- deviceName = n,- computeCapability = v1 + v2 / max 10 (10^ ((ceiling . logBase 10) v2 :: Int)),- totalGlobalMem = gm,- totalConstMem = cm,- sharedMemPerBlock = sm,- regsPerBlock = rb,- warpSize = ws,- maxThreadsPerBlock = tb,- maxBlockSize = (t1,t2,t3),- maxGridSize = (g1,g2,g3),- clockRate = cl,- multiProcessorCount = pc,- memPitch = mp,- textureAlignment = ta,- computeMode = md,- deviceOverlap = ov,+ deviceName = n,+ computeCapability =+ v1 + v2 / max 10 (10^ ((ceiling . logBase 10) v2 :: Int)),+ totalGlobalMem = gm,+ totalConstMem = cm,+ sharedMemPerBlock = sm,+ regsPerBlock = rb,+ warpSize = ws,+ maxThreadsPerBlock = tb,+ maxBlockSize = (t1,t2,t3),+ maxGridSize = (g1,g2,g3),+ clockRate = cl,+ multiProcessorCount = pc,+ memPitch = mp,+ textureAlignment = ta,+ computeMode = md,+ deviceOverlap = ov, #if CUDART_VERSION >= 3000- concurrentKernels = ck,- maxTextureDim1D = u1,- maxTextureDim2D = (u21,u22),- maxTextureDim3D = (u31,u32,u33),+ concurrentKernels = ck,+ maxTextureDim1D = u1,+ maxTextureDim2D = (u21,u22),+ maxTextureDim3D = (u31,u32,u33), #endif #if CUDART_VERSION >= 3010- eccEnabled = ee,+ eccEnabled = ee, #endif #if CUDART_VERSION >= 3000 && CUDART_VERSION < 3010- eccEnabled = False, -- not visible from runtime API < 3.1+ -- not visible from runtime API < 3.1+ eccEnabled = False, #endif- kernelExecTimeoutEnabled = ke,- integrated = tg,- canMapHostMemory = hm+#if CUDART_VERSION >= 4000+ asyncEngineCount = ae,+ cacheMemL2 = l2,+ maxThreadsPerMultiProcessor = tm,+ memBusWidth = mw,+ memClockRate = mc,+ tccDriverEnabled = tc,+ unifiedAddressing = ua,+ pciInfo = PCI pb pd pm,+#endif+ kernelExecTimeoutEnabled = ke,+ integrated = tg,+ canMapHostMemory = hm } ----------------------------------------------------------------------------------- Functions+-- Device Management -------------------------------------------------------------------------------- -- | -- Select the compute device which best matches the given criteria ---choose :: DeviceProperties -> IO Int-choose dev = resultIfOk =<< cudaChooseDevice dev+choose :: DeviceProperties -> IO Device+choose dev = resultIfOk =<< cudaChooseDevice dev {# fun unsafe cudaChooseDevice { alloca- `Int' peekIntConv*@@ -162,8 +197,8 @@ -- | -- Returns which device is currently being used ---get :: IO Int-get = resultIfOk =<< cudaGetDevice+get :: IO Device+get = resultIfOk =<< cudaGetDevice {# fun unsafe cudaGetDevice { alloca- `Int' peekIntConv* } -> `Status' cToEnum #}@@ -174,7 +209,7 @@ -- capability >= 1.0 -- count :: IO Int-count = resultIfOk =<< cudaGetDeviceCount+count = resultIfOk =<< cudaGetDeviceCount {# fun unsafe cudaGetDeviceCount { alloca- `Int' peekIntConv* } -> `Status' cToEnum #}@@ -183,8 +218,8 @@ -- | -- Return information about the selected compute device ---props :: Int -> IO DeviceProperties-props n = resultIfOk =<< cudaGetDeviceProperties n+props :: Device -> IO DeviceProperties+props n = resultIfOk =<< cudaGetDeviceProperties n {# fun unsafe cudaGetDeviceProperties { alloca- `DeviceProperties' peek*@@ -194,8 +229,8 @@ -- | -- Set device to be used for GPU execution ---set :: Int -> IO ()-set n = nothingIfOk =<< cudaSetDevice n+set :: Device -> IO ()+set n = nothingIfOk =<< cudaSetDevice n {# fun unsafe cudaSetDevice { `Int' } -> `Status' cToEnum #}@@ -204,8 +239,8 @@ -- | -- Set flags to be used for device executions ---setFlags :: [DeviceFlag] -> IO ()-setFlags f = nothingIfOk =<< cudaSetDeviceFlags (combineBitMasks f)+setFlags :: [DeviceFlag] -> IO ()+setFlags f = nothingIfOk =<< cudaSetDeviceFlags (combineBitMasks f) {# fun unsafe cudaSetDeviceFlags { `Int' } -> `Status' cToEnum #}@@ -214,12 +249,160 @@ -- | -- Set list of devices for CUDA execution in priority order ---setOrder :: [Int] -> IO ()-setOrder l = nothingIfOk =<< cudaSetValidDevices l (length l)+setOrder :: [Device] -> IO ()+setOrder l = nothingIfOk =<< cudaSetValidDevices l (length l) {# fun unsafe cudaSetValidDevices { withArrayIntConv* `[Int]' , `Int' } -> `Status' cToEnum #} where withArrayIntConv = withArray . map cIntConv++-- |+-- Block until the device has completed all preceding requested tasks. Returns+-- an error if one of the tasks fails.+--+sync :: IO ()+#if CUDART_VERSION < 4000+sync = nothingIfOk =<< cudaThreadSynchronize+{# fun unsafe cudaThreadSynchronize { } -> `Status' cToEnum #}+#else+sync = nothingIfOk =<< cudaDeviceSynchronize+{# fun unsafe cudaDeviceSynchronize { } -> `Status' cToEnum #}+#endif++-- |+-- Explicitly destroys and cleans up all runtime resources associated with the+-- current device in the current process. Any subsequent API call will+-- reinitialise the device.+--+-- Note that this function will reset the device immediately. It is the caller’s+-- responsibility to ensure that the device is not being accessed by any other+-- host threads from the process when this function is called.+--+reset :: IO ()+#if CUDART_VERSION >= 4000+reset = nothingIfOk =<< cudaDeviceReset+{# fun unsafe cudaDeviceReset { } -> `Status' cToEnum #}+#else+reset = nothingIfOk =<< cudaThreadExit+{# fun unsafe cudaThreadExit { } -> `Status' cToEnum #}+#endif+++--------------------------------------------------------------------------------+-- Peer Access+--------------------------------------------------------------------------------++-- |+-- Possible option values for direct peer memory access+--+data PeerFlag+instance Enum PeerFlag where++-- |+-- Queries if the first device can directly access the memory of the second. If+-- direct access is possible, it can then be enabled with 'add'. Requires+-- cuda-4.0.+--+accessible :: Device -> Device -> IO Bool+#if CUDART_VERSION < 4000+accessible _ _ = requireSDK 4.0 "accessible"+#else+accessible dev peer = resultIfOk =<< cudaDeviceCanAccessPeer dev peer++{# fun unsafe cudaDeviceCanAccessPeer+ { alloca- `Bool' peekBool*+ , cIntConv `Device'+ , cIntConv `Device' } -> `Status' cToEnum #}+#endif++-- |+-- If the devices of both the current and supplied contexts support unified+-- addressing, then enable allocations in the supplied context to be accessible+-- by the current context. Requires cuda-4.0.+--+add :: Device -> [PeerFlag] -> IO ()+#if CUDART_VERSION < 4000+add _ _ = requireSDK 4.0 "add"+#else+add dev flags = nothingIfOk =<< cudaDeviceEnablePeerAccess dev flags++{# fun unsafe cudaDeviceEnablePeerAccess+ { cIntConv `Device'+ , combineBitMasks `[PeerFlag]' } -> `Status' cToEnum #}+#endif+++-- |+-- Disable direct memory access from the current context to the supplied+-- context. Requires cuda-4.0.+--+remove :: Device -> IO ()+#if CUDART_VERSION < 4000+remove _ = requireSDK 4.0 "remove"+#else+remove dev = nothingIfOk =<< cudaDeviceDisablePeerAccess dev++{# fun unsafe cudaDeviceDisablePeerAccess+ { cIntConv `Device' } -> `Status' cToEnum #}+#endif+++--------------------------------------------------------------------------------+-- Cache Configuration+--------------------------------------------------------------------------------++-- |+-- Device limit flags+--+#if CUDART_VERSION < 3010+data Limit+#else+{# enum cudaLimit as Limit+ { underscoreToCase }+ with prefix="cudaLimit" deriving (Eq, Show) #}+#endif+++-- |+-- Query compute 2.0 call stack limits. Requires cuda-3.1.+--+getLimit :: Limit -> IO Int+#if CUDART_VERSION < 3010+getLimit _ = requireSDK 3.1 "getLimit"+#elif CUDART_VERSION < 4000+getLimit l = resultIfOk =<< cudaThreadGetLimit l++{# fun unsafe cudaThreadGetLimit+ { alloca- `Int' peekIntConv*+ , cFromEnum `Limit' } -> `Status' cToEnum #}+#else+getLimit l = resultIfOk =<< cudaDeviceGetLimit l++{# fun unsafe cudaDeviceGetLimit+ { alloca- `Int' peekIntConv*+ , cFromEnum `Limit' } -> `Status' cToEnum #}+#endif+++-- |+-- Set compute 2.0 call stack limits. Requires cuda-3.1.+--+setLimit :: Limit -> Int -> IO ()+#if CUDART_VERSION < 3010+setLimit _ _ = requireSDK 3.1 "setLimit"+#elif CUDART_VERSION < 4000+setLimit l n = nothingIfOk =<< cudaThreadSetLimit l n++{# fun unsafe cudaThreadSetLimit+ { cFromEnum `Limit'+ , cIntConv `Int' } -> `Status' cToEnum #}+#else+setLimit l n = nothingIfOk =<< cudaDeviceSetLimit l n++{# fun unsafe cudaDeviceSetLimit+ { cFromEnum `Limit'+ , cIntConv `Int' } -> `Status' cToEnum #}+#endif
Foreign/CUDA/Runtime/Error.chs view
@@ -2,22 +2,23 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Runtime.Error--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Error handling functions -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Runtime.Error- (- Status(..), CUDAException(..),- cudaError, describe,- resultIfOk, nothingIfOk- )- where+module Foreign.CUDA.Runtime.Error ( + Status(..), CUDAException(..), + cudaError, describe, requireSDK,+ resultIfOk, nothingIfOk++) where++ -- Friends import Foreign.CUDA.Internal.C2HS @@ -64,6 +65,12 @@ -- cudaError :: String -> IO a cudaError s = throwIO (UserError s)++-- |+-- A specially formatted error message+--+requireSDK :: Double -> String -> IO a+requireSDK v s = cudaError ("'" ++ s ++ "' requires at least cuda-" ++ show v) --------------------------------------------------------------------------------
Foreign/CUDA/Runtime/Event.chs view
@@ -1,33 +1,35 @@-{-# LANGUAGE ForeignFunctionInterface #-}+{-# LANGUAGE CPP, ForeignFunctionInterface, EmptyDataDecls #-} -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Driver.Event--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Event management for C-for-CUDA runtime environment -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Runtime.Event- (- Event, EventFlag(..),- create, destroy, elapsedTime, query, record, block- )- where+module Foreign.CUDA.Runtime.Event ( + -- * Event Management+ Event, EventFlag(..), WaitFlag,+ create, destroy, elapsedTime, query, record, wait, block++) where+ #include <cuda_runtime_api.h> {# context lib="cudart" #} -- Friends import Foreign.CUDA.Runtime.Error-import Foreign.CUDA.Runtime.Stream (Stream(..), defaultStream)+import Foreign.CUDA.Runtime.Stream ( Stream(..), defaultStream ) import Foreign.CUDA.Internal.C2HS -- System import Foreign import Foreign.C-import Control.Monad (liftM)+import Control.Monad ( liftM )+import Data.Maybe ( fromMaybe ) #c@@ -53,7 +55,13 @@ { underscoreToCase } with prefix="CUDA_EVENT_OPTION" deriving (Eq,Show) #} +-- |+-- Possible option flags for waiting for events+--+data WaitFlag+instance Enum WaitFlag where + -------------------------------------------------------------------------------- -- Event management --------------------------------------------------------------------------------@@ -119,6 +127,24 @@ { useEvent `Event' , useStream `Stream' } -> `Status' cToEnum #} ++-- |+-- Makes all future work submitted to the (optional) stream wait until the given+-- event reports completion before beginning execution. Requires cuda-3.2.+--+wait :: Event -> Maybe Stream -> [WaitFlag] -> IO ()+#if CUDART_VERSION < 3020+wait _ _ _ = requireSDK 3.2 "wait"+#else+wait ev mst flags =+ let st = fromMaybe defaultStream mst+ in nothingIfOk =<< cudaStreamWaitEvent st ev flags++{# fun unsafe cudaStreamWaitEvent+ { useStream `Stream'+ , useEvent `Event'+ , combineBitMasks `[WaitFlag]' } -> `Status' cToEnum #}+#endif -- | -- Wait until the event has been recorded
Foreign/CUDA/Runtime/Exec.chs view
@@ -1,32 +1,26 @@-{-# LANGUAGE GADTs, ForeignFunctionInterface #-}+{-# LANGUAGE GADTs, CPP, ForeignFunctionInterface #-} -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Runtime.Exec--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Kernel execution control for C-for-CUDA runtime interface -- -------------------------------------------------------------------------------- +module Foreign.CUDA.Runtime.Exec (++ -- * Kernel Execution+ FunAttributes(..), FunParam(..), CacheConfig(..),+ attributes, setConfig, setParams, setCacheConfig, launch++) where+ #include "cbits/stubs.h" #include <cuda_runtime_api.h> {# context lib="cudart" #} -module Foreign.CUDA.Runtime.Exec- (- FunAttributes(..), FunParam(..),-#if CUDART_VERSION >= 3000- CacheConfig(..),-#endif- attributes, setConfig, setParams,-#if CUDART_VERSION >= 3000- setCacheConfig,-#endif- launch- )- where- -- Friends import Foreign.CUDA.Runtime.Stream import Foreign.CUDA.Runtime.Error@@ -81,7 +75,9 @@ numRegs = nr } -#if CUDART_VERSION >= 3000+#if CUDART_VERSION < 3000+data CacheConfig+#else -- | -- Cache configuration preference --@@ -184,7 +180,6 @@ peek' = peek . castPtr -#if CUDART_VERSION >= 3000 -- | -- On devices where the L1 cache and shared memory use the same hardware -- resources, this sets the preferred cache configuration for the given device@@ -195,6 +190,9 @@ -- synchronisation point for streamed kernel launches -- setCacheConfig :: String -> CacheConfig -> IO ()+#if CUDART_VERSION < 3000+setCacheConfig _ _ = requireSDK 3.0 "setCacheConfig"+#else setCacheConfig fn pref = nothingIfOk =<< cudaFuncSetCacheConfig fn pref {# fun unsafe cudaFuncSetCacheConfig
Foreign/CUDA/Runtime/Marshal.chs view
@@ -2,35 +2,35 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Runtime.Marshal--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Memory management for CUDA devices -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Runtime.Marshal- (- -- * Host Allocation- AllocFlag(..),- mallocHostArray, freeHost,+module Foreign.CUDA.Runtime.Marshal ( - -- * Device Allocation- mallocArray, allocaArray, free,+ -- * Host Allocation+ AllocFlag(..),+ mallocHostArray, freeHost, - -- * Marshalling- peekArray, peekArrayAsync, peekListArray,- pokeArray, pokeArrayAsync, pokeListArray,- copyArray, copyArrayAsync,+ -- * Device Allocation+ mallocArray, allocaArray, free, - -- * Combined Allocation and Marshalling- newListArray, newListArrayLen,- withListArray, withListArrayLen,+ -- * Marshalling+ peekArray, peekArrayAsync, peekListArray,+ pokeArray, pokeArrayAsync, pokeListArray,+ copyArray, copyArrayAsync, - -- * Utility- memset- )- where+ -- * Combined Allocation and Marshalling+ newListArray, newListArrayLen,+ withListArray, withListArrayLen,++ -- * Utility+ memset++) where #include <cuda_runtime_api.h> {# context lib="cudart" #}
Foreign/CUDA/Runtime/Stream.chs view
@@ -2,22 +2,20 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Runtime.Stream--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Stream management routines -- -------------------------------------------------------------------------------- +module Foreign.CUDA.Runtime.Stream ( -module Foreign.CUDA.Runtime.Stream- (- Stream(..),+ -- * Stream Management+ Stream(..),+ create, destroy, finished, block, defaultStream - -- ** Stream management- create, destroy, finished, block, defaultStream- )- where+) where #include <cuda_runtime_api.h> {# context lib="cudart" #}
Foreign/CUDA/Runtime/Texture.chs view
@@ -2,19 +2,20 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Runtime.Texture--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Texture references -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Runtime.Texture- (- Texture(..), FormatKind(..), AddressMode(..), FilterMode(..), FormatDesc(..),- bind, bind2D- )- where+module Foreign.CUDA.Runtime.Texture (++ -- * Texture Reference Management+ Texture(..), FormatKind(..), AddressMode(..), FilterMode(..), FormatDesc(..),+ bind, bind2D++) where -- Friends import Foreign.CUDA.Ptr
Foreign/CUDA/Runtime/Thread.chs view
@@ -1,40 +1,26 @@-{-# LANGUAGE ForeignFunctionInterface #-} -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Runtime.Thread--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Thread management routines -- -------------------------------------------------------------------------------- -#include <cuda_runtime_api.h>-{# context lib="cudart" #}- module Foreign.CUDA.Runtime.Thread- (-#if CUDART_VERSION >= 3010- Limit(..), getLimit, setLimit,-#endif- sync, exit- )- where+ {-# DEPRECATED "superseded by functions in Device module" #-} ( --- Friends-import Foreign.CUDA.Runtime.Error-import Foreign.CUDA.Internal.C2HS+ -- * Cache configuration+ D.Limit(..),+ getLimit, setLimit, --- System-import Foreign-import Foreign.C+ -- * Thread management+ sync, exit +) where -#if CUDART_VERSION >= 3010-{# enum cudaLimit as Limit- { underscoreToCase }- with prefix="cudaLimit" deriving (Eq, Show) #}-#endif+import qualified Foreign.CUDA.Runtime.Device as D -------------------------------------------------------------------------------- -- Thread management@@ -45,10 +31,10 @@ -- an error if one of the tasks fails. -- sync :: IO ()-sync = nothingIfOk =<< cudaThreadSynchronize--{# fun unsafe cudaThreadSynchronize- { } -> `Status' cToEnum #}+sync = D.sync+#if CUDART_VERSION >= 4000+{-# DEPRECATED exit "use 'Foreign.CUDA.Runtime.Device.sync' instead" #-}+#endif -- |@@ -57,31 +43,28 @@ -- Implicitly called on thread exit. -- exit :: IO ()-exit = nothingIfOk =<< cudaThreadExit--{# fun unsafe cudaThreadExit- { } -> `Status' cToEnum #}+exit = D.reset+#if CUDART_VERSION >= 4000+{-# DEPRECATED exit "use 'Foreign.CUDA.Runtime.Device.reset' instead" #-}+#endif -#if CUDART_VERSION >= 3010 -- |--- Query compute 2.0 call stack limits+-- Query compute 2.0 call stack limits. Requires cuda-3.1. ---getLimit :: Limit -> IO Int-getLimit l = resultIfOk =<< cudaThreadGetLimit l+getLimit :: D.Limit -> IO Int+getLimit = D.getLimit+#if CUDART_VERSION >= 4000+{-# DEPRECATED exit "use 'Foreign.CUDA.Runtime.Device.getLimit' instead" #-}+#endif + -- |--- Set compute 2.0 call stack limits+-- Set compute 2.0 call stack limits. Requires cuda-3.1. ---setLimit :: Limit -> Int -> IO ()-setLimit l n = nothingIfOk =<< cudaThreadSetLimit l n--{# fun unsafe cudaThreadGetLimit- { alloca- `Int' peekIntConv*- , cFromEnum `Limit' } -> `Status' cToEnum #}--{# fun unsafe cudaThreadSetLimit- { cFromEnum `Limit'- , cIntConv `Int' } -> `Status' cToEnum #}+setLimit :: D.Limit -> Int -> IO ()+setLimit = D.setLimit+#if CUDART_VERSION >= 4000+{-# DEPRECATED exit "use 'Foreign.CUDA.Runtime.Device.setLimit' instead" #-} #endif
Foreign/CUDA/Runtime/Utils.chs view
@@ -2,17 +2,14 @@ -------------------------------------------------------------------------------- -- | -- Module : Foreign.CUDA.Runtime.Utils--- Copyright : (c) [2009..2010] Trevor L. McDonell+-- Copyright : (c) [2009..2011] Trevor L. McDonell -- License : BSD -- -- Utility functions -- -------------------------------------------------------------------------------- -module Foreign.CUDA.Runtime.Utils- (- runtimeVersion, driverVersion- )+module Foreign.CUDA.Runtime.Utils (runtimeVersion, driverVersion) where #include <cuda_runtime_api.h>
Setup.hs view
@@ -1,18 +1,96 @@+import Distribution.PackageDescription+import Distribution.PackageDescription.Parse+import Distribution.Verbosity+import Distribution.System import Distribution.Simple+import Distribution.Simple.Utils+import Distribution.Simple.Setup+import Distribution.Simple.Command import Distribution.Simple.Program import Distribution.Simple.LocalBuildInfo-import Distribution.Simple.PreProcess hiding (ppC2hs)-import Distribution.PackageDescription+import Distribution.Simple.PreProcess hiding (ppC2hs)++import Control.Exception.Extensible import System.FilePath+import System.Directory+import System.Environment+import System.IO.Error hiding (catch)+import Prelude hiding (catch) +-- Replicate the invocation of the postConf script, so that we can insert the+-- arguments of --extra-include-dirs and --extra-lib-dirs as paths in CPPFLAGS+-- and LDFLAGS into the environment+-- main :: IO () main = defaultMainWithHooks customHooks where preprocessors = hookedPreProcessors autoconfUserHooks customHooks = autoconfUserHooks {+ postConf = defaultPostConf, hookedPreProcessors = ("chs",ppC2hs) : filter (\x -> fst x /= "chs") preprocessors }++ defaultPostConf :: Args -> ConfigFlags -> PackageDescription -> LocalBuildInfo -> IO ()+ defaultPostConf args flags pkg_descr lbi+ = let verbosity = fromFlag (configVerbosity flags)+ in do+ noExtraFlags args+ confExists <- doesFileExist "configure"+ if confExists+ then runConfigureScript verbosity False flags lbi+ else die "configure script not found."++ pbi <- getHookedBuildInfo verbosity+ let pkg_descr' = updatePackageDescription pbi pkg_descr+ postConf simpleUserHooks args flags pkg_descr' lbi+++runConfigureScript :: Verbosity -> Bool -> ConfigFlags -> LocalBuildInfo -> IO ()+runConfigureScript verbosity backwardsCompatHack flags lbi = do+ env <- getEnvironment+ (ccProg, ccFlags) <- configureCCompiler verbosity (withPrograms lbi)++ let env' = foldr appendToEnvironment env+ [("CC", ccProg)+ ,("CFLAGS", unwords ccFlags)+ ,("CPPFLAGS", concatMap ("-I"++) (configExtraIncludeDirs flags))+ ,("LDFLAGS", concatMap ("-L"++) (configExtraLibDirs flags))+ ]++ handleNoWindowsSH $ rawSystemExitWithEnv verbosity "sh" args env'++ where+ args = "configure" : configureArgs backwardsCompatHack flags++ appendToEnvironment (key, val) [] = [(key, val)]+ appendToEnvironment (key, val) (kv@(k, v) : rest)+ | key == k = (key, v ++ " " ++ val) : rest+ | otherwise = kv : appendToEnvironment (key, val) rest++ handleNoWindowsSH action+ | buildOS /= Windows+ = action++ | otherwise+ = action+ `catch` \ioe -> if isDoesNotExistError ioe+ then die notFoundMsg+ else throwIO ioe++ notFoundMsg = "The package has a './configure' script. This requires a "+ ++ "Unix compatibility toolchain such as MinGW+MSYS or Cygwin."+++getHookedBuildInfo :: Verbosity -> IO HookedBuildInfo+getHookedBuildInfo verbosity = do+ maybe_infoFile <- defaultHookedPackageDesc+ case maybe_infoFile of+ Nothing -> return emptyHookedBuildInfo+ Just infoFile -> do+ info verbosity $ "Reading parameters from " ++ infoFile+ readHookedBuildInfo verbosity infoFile+ -- Replicate the default C2HS preprocessor hook here, and inject a value for -- extra-c2hs-options, if it was present in the buildinfo file
cbits/stubs.c view
@@ -122,4 +122,30 @@ } #endif+#if CUDA_VERSION >= 4000+CUresult CUDAAPI cuCtxDestroy(CUcontext ctx)+{+ return cuCtxDestroy_v2(ctx);+} +CUresult CUDAAPI cuCtxPopCurrent(CUcontext *pctx)+{+ return cuCtxPopCurrent_v2(pctx);+}++CUresult CUDAAPI cuCtxPushCurrent(CUcontext ctx)+{+ return cuCtxPushCurrent_v2(ctx);+}++CUresult CUDAAPI cuStreamDestroy(CUstream hStream)+{+ return cuStreamDestroy_v2(hStream);+}++CUresult CUDAAPI cuEventDestroy(CUevent hEvent)+{+ return cuEventDestroy_v2(hEvent);+}++#endif
cbits/stubs.h view
@@ -113,6 +113,20 @@ // CUresult CUDAAPI cuGraphicsResourceGetMappedPointer(CUdeviceptr *pDevPtr, unsigned int *pSize, CUgraphicsResource resource); #endif +#if CUDA_VERSION >= 4000+#undef cuCtxDestroy+#undef cuCtxPopCurrent+#undef cuCtxPushCurrent+#undef cuStreamDestroy+#undef cuEventDestroy++CUresult CUDAAPI cuCtxDestroy(CUcontext ctx);+CUresult CUDAAPI cuCtxPopCurrent(CUcontext *pctx);+CUresult CUDAAPI cuCtxPushCurrent(CUcontext ctx);+CUresult CUDAAPI cuStreamDestroy(CUstream hStream);+CUresult CUDAAPI cuEventDestroy(CUevent hEvent);+#endif+ #ifdef __cplusplus } #endif
configure view
@@ -1,4921 +1,4547 @@ #! /bin/sh # Guess values for system-dependent variables and create Makefiles.-# Generated by GNU Autoconf 2.61 for Haskell CUDA bindings 0.3.2.-#-# Report bugs to <tmcdonell@cse.unsw.edu.au>.-#-# Copyright (C) 1992, 1993, 1994, 1995, 1996, 1998, 1999, 2000, 2001,-# 2002, 2003, 2004, 2005, 2006 Free Software Foundation, Inc.-# This configure script is free software; the Free Software Foundation-# gives unlimited permission to copy, distribute and modify it.-## --------------------- ##-## M4sh Initialization. ##-## --------------------- ##--# Be more Bourne compatible-DUALCASE=1; export DUALCASE # for MKS sh-if test -n "${ZSH_VERSION+set}" && (emulate sh) >/dev/null 2>&1; then- emulate sh- NULLCMD=:- # Zsh 3.x and 4.x performs word splitting on ${1+"$@"}, which- # is contrary to our usage. Disable this feature.- alias -g '${1+"$@"}'='"$@"'- setopt NO_GLOB_SUBST-else- case `(set -o) 2>/dev/null` in- *posix*) set -o posix ;;-esac--fi-----# PATH needs CR-# Avoid depending upon Character Ranges.-as_cr_letters='abcdefghijklmnopqrstuvwxyz'-as_cr_LETTERS='ABCDEFGHIJKLMNOPQRSTUVWXYZ'-as_cr_Letters=$as_cr_letters$as_cr_LETTERS-as_cr_digits='0123456789'-as_cr_alnum=$as_cr_Letters$as_cr_digits--# The user is always right.-if test "${PATH_SEPARATOR+set}" != set; then- echo "#! /bin/sh" >conf$$.sh- echo "exit 0" >>conf$$.sh- chmod +x conf$$.sh- if (PATH="/nonexistent;."; conf$$.sh) >/dev/null 2>&1; then- PATH_SEPARATOR=';'- else- PATH_SEPARATOR=:- fi- rm -f conf$$.sh-fi--# Support unset when possible.-if ( (MAIL=60; unset MAIL) || exit) >/dev/null 2>&1; then- as_unset=unset-else- as_unset=false-fi---# IFS-# We need space, tab and new line, in precisely that order. Quoting is-# there to prevent editors from complaining about space-tab.-# (If _AS_PATH_WALK were called with IFS unset, it would disable word-# splitting by setting IFS to empty value.)-as_nl='-'-IFS=" "" $as_nl"--# Find who we are. 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then+ { echo "$as_me:$LINENO: result: $CC" >&5+echo "${ECHO_T}$CC" >&6; }+else+ { echo "$as_me:$LINENO: result: no" >&5+echo "${ECHO_T}no" >&6; }+fi+++ fi+fi+if test -z "$CC"; then+ # Extract the first word of "cc", so it can be a program name with args.+set dummy cc; ac_word=$2+{ echo "$as_me:$LINENO: checking for $ac_word" >&5+echo $ECHO_N "checking for $ac_word... $ECHO_C" >&6; }+if test "${ac_cv_prog_CC+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ if test -n "$CC"; then+ ac_cv_prog_CC="$CC" # Let the user override the test.+else+ ac_prog_rejected=no+as_save_IFS=$IFS; IFS=$PATH_SEPARATOR+for as_dir in $PATH+do+ IFS=$as_save_IFS+ test -z "$as_dir" && as_dir=.+ for ac_exec_ext in '' $ac_executable_extensions; do+ if { test -f "$as_dir/$ac_word$ac_exec_ext" && $as_test_x "$as_dir/$ac_word$ac_exec_ext"; }; then+ if test "$as_dir/$ac_word$ac_exec_ext" = "/usr/ucb/cc"; then+ ac_prog_rejected=yes+ continue+ fi+ ac_cv_prog_CC="cc"+ echo "$as_me:$LINENO: found $as_dir/$ac_word$ac_exec_ext" >&5+ break 2+ fi+done+done+IFS=$as_save_IFS++if test $ac_prog_rejected = yes; then+ # We found a bogon in the path, so make sure we never use it.+ set dummy $ac_cv_prog_CC+ shift+ if test $# != 0; then+ # We chose a different compiler from the bogus one.+ # However, it has the same basename, so the bogon will be chosen+ # first if we set CC to just the basename; use the full file name.+ shift+ ac_cv_prog_CC="$as_dir/$ac_word${1+' '}$@"+ fi+fi+fi+fi+CC=$ac_cv_prog_CC+if test -n "$CC"; then+ { echo "$as_me:$LINENO: result: $CC" >&5+echo "${ECHO_T}$CC" >&6; }+else+ { echo "$as_me:$LINENO: result: no" >&5+echo "${ECHO_T}no" >&6; }+fi+++fi+if test -z "$CC"; then+ if test -n "$ac_tool_prefix"; then+ for ac_prog in cl.exe+ do+ # Extract the first word of "$ac_tool_prefix$ac_prog", so it can be a program name with args.+set dummy $ac_tool_prefix$ac_prog; ac_word=$2+{ echo "$as_me:$LINENO: checking for $ac_word" >&5+echo $ECHO_N "checking for $ac_word... $ECHO_C" >&6; }+if test "${ac_cv_prog_CC+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ if test -n "$CC"; 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It's necessary to write '\x00'==0 to get something+ that's true only with -std. */+int osf4_cc_array ['\x00' == 0 ? 1 : -1];++/* IBM C 6 for AIX is almost-ANSI by default, but it replaces macro parameters+ inside strings and character constants. */+#define FOO(x) 'x'+int xlc6_cc_array[FOO(a) == 'x' ? 1 : -1];++int test (int i, double x);+struct s1 {int (*f) (int a);};+struct s2 {int (*f) (double a);};+int pairnames (int, char **, FILE *(*)(struct buf *, struct stat *, int), int, int);+int argc;+char **argv;+int+main ()+{+return f (e, argv, 0) != argv[0] || f (e, argv, 1) != argv[1];+ ;+ return 0;+}+_ACEOF+for ac_arg in '' -qlanglvl=extc89 -qlanglvl=ansi -std \+ -Ae "-Aa -D_HPUX_SOURCE" "-Xc -D__EXTENSIONS__"+do+ CC="$ac_save_CC $ac_arg"+ rm -f conftest.$ac_objext+if { (ac_try="$ac_compile"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_compile") 2>conftest.er1+ ac_status=$?+ grep -v '^ *+' conftest.er1 >conftest.err+ rm -f conftest.er1+ cat conftest.err >&5+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); } && {+ test -z "$ac_c_werror_flag" ||+ test ! -s conftest.err+ } && test -s conftest.$ac_objext; then+ ac_cv_prog_cc_c89=$ac_arg+else+ echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5+++fi++rm -f core conftest.err conftest.$ac_objext+ test "x$ac_cv_prog_cc_c89" != "xno" && break+done+rm -f conftest.$ac_ext+CC=$ac_save_CC++fi+# AC_CACHE_VAL+case "x$ac_cv_prog_cc_c89" in+ x)+ { echo "$as_me:$LINENO: result: none needed" >&5+echo "${ECHO_T}none needed" >&6; } ;;+ xno)+ { echo "$as_me:$LINENO: result: unsupported" >&5+echo "${ECHO_T}unsupported" >&6; } ;;+ *)+ CC="$CC $ac_cv_prog_cc_c89"+ { echo "$as_me:$LINENO: result: $ac_cv_prog_cc_c89" >&5+echo "${ECHO_T}$ac_cv_prog_cc_c89" >&6; } ;;+esac+++ac_ext=c+ac_cpp='$CPP $CPPFLAGS'+ac_compile='$CC -c $CFLAGS $CPPFLAGS conftest.$ac_ext >&5'+ac_link='$CC -o conftest$ac_exeext $CFLAGS $CPPFLAGS $LDFLAGS conftest.$ac_ext $LIBS >&5'+ac_compiler_gnu=$ac_cv_c_compiler_gnu+++# Determine the target platform+#+ac_aux_dir=+for ac_dir in "$srcdir" "$srcdir/.." "$srcdir/../.."; do+ if test -f "$ac_dir/install-sh"; then+ ac_aux_dir=$ac_dir+ ac_install_sh="$ac_aux_dir/install-sh -c"+ break+ elif test -f "$ac_dir/install.sh"; then+ ac_aux_dir=$ac_dir+ ac_install_sh="$ac_aux_dir/install.sh -c"+ break+ elif test -f "$ac_dir/shtool"; then+ ac_aux_dir=$ac_dir+ ac_install_sh="$ac_aux_dir/shtool install -c"+ break+ fi+done+if test -z "$ac_aux_dir"; then+ { { echo "$as_me:$LINENO: error: cannot find install-sh or install.sh in \"$srcdir\" \"$srcdir/..\" \"$srcdir/../..\"" >&5+echo "$as_me: error: cannot find install-sh or install.sh in \"$srcdir\" \"$srcdir/..\" \"$srcdir/../..\"" >&2;}+ { (exit 1); exit 1; }; }+fi++# These three variables are undocumented and unsupported,+# and are intended to be withdrawn in a future Autoconf release.+# They can cause serious problems if a builder's source tree is in a directory+# whose full name contains unusual characters.+ac_config_guess="$SHELL $ac_aux_dir/config.guess" # Please don't use this var.+ac_config_sub="$SHELL $ac_aux_dir/config.sub" # Please don't use this var.+ac_configure="$SHELL $ac_aux_dir/configure" # Please don't use this var.+++# Make sure we can run config.sub.+$SHELL "$ac_aux_dir/config.sub" sun4 >/dev/null 2>&1 ||+ { { echo "$as_me:$LINENO: error: cannot run $SHELL $ac_aux_dir/config.sub" >&5+echo "$as_me: error: cannot run $SHELL $ac_aux_dir/config.sub" >&2;}+ { (exit 1); exit 1; }; }++{ echo "$as_me:$LINENO: checking build system type" >&5+echo $ECHO_N "checking build system type... $ECHO_C" >&6; }+if test "${ac_cv_build+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ ac_build_alias=$build_alias+test "x$ac_build_alias" = x &&+ ac_build_alias=`$SHELL "$ac_aux_dir/config.guess"`+test "x$ac_build_alias" = x &&+ { { echo "$as_me:$LINENO: error: cannot guess build type; you must specify one" >&5+echo "$as_me: error: cannot guess build type; you must specify one" >&2;}+ { (exit 1); exit 1; }; }+ac_cv_build=`$SHELL "$ac_aux_dir/config.sub" $ac_build_alias` ||+ { { echo "$as_me:$LINENO: error: $SHELL $ac_aux_dir/config.sub $ac_build_alias failed" >&5+echo "$as_me: error: $SHELL $ac_aux_dir/config.sub $ac_build_alias failed" >&2;}+ { (exit 1); exit 1; }; }++fi+{ echo "$as_me:$LINENO: result: $ac_cv_build" >&5+echo "${ECHO_T}$ac_cv_build" >&6; }+case $ac_cv_build in+*-*-*) ;;+*) { { echo "$as_me:$LINENO: error: invalid value of canonical build" >&5+echo "$as_me: error: invalid value of canonical build" >&2;}+ { (exit 1); exit 1; }; };;+esac+build=$ac_cv_build+ac_save_IFS=$IFS; IFS='-'+set x $ac_cv_build+shift+build_cpu=$1+build_vendor=$2+shift; shift+# Remember, the first character of IFS is used to create $*,+# except with old shells:+build_os=$*+IFS=$ac_save_IFS+case $build_os in *\ *) build_os=`echo "$build_os" | sed 's/ /-/g'`;; esac+++{ echo "$as_me:$LINENO: checking host system type" >&5+echo $ECHO_N "checking host system type... $ECHO_C" >&6; }+if test "${ac_cv_host+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ if test "x$host_alias" = x; then+ ac_cv_host=$ac_cv_build+else+ ac_cv_host=`$SHELL "$ac_aux_dir/config.sub" $host_alias` ||+ { { echo "$as_me:$LINENO: error: $SHELL $ac_aux_dir/config.sub $host_alias failed" >&5+echo "$as_me: error: $SHELL $ac_aux_dir/config.sub $host_alias failed" >&2;}+ { (exit 1); exit 1; }; }+fi++fi+{ echo "$as_me:$LINENO: result: $ac_cv_host" >&5+echo "${ECHO_T}$ac_cv_host" >&6; }+case $ac_cv_host in+*-*-*) ;;+*) { { echo "$as_me:$LINENO: error: invalid value of canonical host" >&5+echo "$as_me: error: invalid value of canonical host" >&2;}+ { (exit 1); exit 1; }; };;+esac+host=$ac_cv_host+ac_save_IFS=$IFS; IFS='-'+set x $ac_cv_host+shift+host_cpu=$1+host_vendor=$2+shift; shift+# Remember, the first character of IFS is used to create $*,+# except with old shells:+host_os=$*+IFS=$ac_save_IFS+case $host_os in *\ *) host_os=`echo "$host_os" | sed 's/ /-/g'`;; esac+++{ echo "$as_me:$LINENO: checking target system type" >&5+echo $ECHO_N "checking target system type... $ECHO_C" >&6; }+if test "${ac_cv_target+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ if test "x$target_alias" = x; then+ ac_cv_target=$ac_cv_host+else+ ac_cv_target=`$SHELL "$ac_aux_dir/config.sub" $target_alias` ||+ { { echo "$as_me:$LINENO: error: $SHELL $ac_aux_dir/config.sub $target_alias failed" >&5+echo "$as_me: error: $SHELL $ac_aux_dir/config.sub $target_alias failed" >&2;}+ { (exit 1); exit 1; }; }+fi++fi+{ echo "$as_me:$LINENO: result: $ac_cv_target" >&5+echo "${ECHO_T}$ac_cv_target" >&6; }+case $ac_cv_target in+*-*-*) ;;+*) { { echo "$as_me:$LINENO: error: invalid value of canonical target" >&5+echo "$as_me: error: invalid value of canonical target" >&2;}+ { (exit 1); exit 1; }; };;+esac+target=$ac_cv_target+ac_save_IFS=$IFS; IFS='-'+set x $ac_cv_target+shift+target_cpu=$1+target_vendor=$2+shift; shift+# Remember, the first character of IFS is used to create $*,+# except with old shells:+target_os=$*+IFS=$ac_save_IFS+case $target_os in *\ *) target_os=`echo "$target_os" | sed 's/ /-/g'`;; esac+++# The aliases save the names the user supplied, while $host etc.+# will get canonicalized.+test -n "$target_alias" &&+ test "$program_prefix$program_suffix$program_transform_name" = \+ NONENONEs,x,x, &&+ program_prefix=${target_alias}-++# Search the user's PATH for the 'nvcc' compiler. If it is found, add this+# prefix to the include and library search directories. Additionally, set nvcc+# as the C preprocessor for c2hs (only, or it won't try to link cudart)+#+# Extract the first word of "nvcc", so it can be a program name with args.+set dummy nvcc; ac_word=$2+{ echo "$as_me:$LINENO: checking for $ac_word" >&5+echo $ECHO_N "checking for $ac_word... $ECHO_C" >&6; }+if test "${ac_cv_path_NVCC+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ case $NVCC in+ [\\/]* | ?:[\\/]*)+ ac_cv_path_NVCC="$NVCC" # Let the user override the test with a path.+ ;;+ *)+ as_save_IFS=$IFS; IFS=$PATH_SEPARATOR+for as_dir in $PATH+do+ IFS=$as_save_IFS+ test -z "$as_dir" && as_dir=.+ for ac_exec_ext in '' $ac_executable_extensions; do+ if { test -f "$as_dir/$ac_word$ac_exec_ext" && $as_test_x "$as_dir/$ac_word$ac_exec_ext"; }; then+ ac_cv_path_NVCC="$as_dir/$ac_word$ac_exec_ext"+ echo "$as_me:$LINENO: found $as_dir/$ac_word$ac_exec_ext" >&5+ break 2+ fi+done+done+IFS=$as_save_IFS++ ;;+esac+fi+NVCC=$ac_cv_path_NVCC+if test -n "$NVCC"; then+ { echo "$as_me:$LINENO: result: $NVCC" >&5+echo "${ECHO_T}$NVCC" >&6; }+else+ { echo "$as_me:$LINENO: result: no" >&5+echo "${ECHO_T}no" >&6; }+fi+++if test "$NVCC" != ""; then+ cuda_prefix="$(dirname $(dirname $NVCC))"+ cuda_c2hsflags="--cpp=$NVCC --cppopts=-E "+ CPPFLAGS+=" -I${cuda_prefix}/include "+# CC=${NVCC}++ case $target in+ x86_64*) LDFLAGS+=" -L${cuda_prefix}/lib64 " ;;+ *) LDFLAGS+=" -L${cuda_prefix}/lib " ;;+ esac+fi++# Recent versions of Mac OS X (10.6 and later) provides a C extension for+# creating lambda-like closure expressions (blocks), the syntax for which+# confuses the c2hs preprocessor. We disable this by undefining the __BLOCKS__+# macro.+#+{ echo "$as_me:$LINENO: checking for Apple Blocks extension" >&5+echo $ECHO_N "checking for Apple Blocks extension... $ECHO_C" >&6; }+if test -r "/usr/include/stdlib.h"; then+ BLOCKS=`grep __BLOCKS__ /usr/include/stdlib.h`+fi+if test "$BLOCKS" != ""; then+ cuda_c2hsflags+="--cppopts=-U__BLOCKS__ "+ { echo "$as_me:$LINENO: result: yes" >&5+echo "${ECHO_T}yes" >&6; }+else+ { echo "$as_me:$LINENO: result: no" >&5+echo "${ECHO_T}no" >&6; }+fi++# Make sure both the driver and runtime are found+#+longerror='+********************************************************************************++The configuration process failed to locate your CUDA installation. Ensure that+you have installed the driver and developer toolkit, available from:++ http://developer.nvidia.com/cuda-downloads++Then make sure that "nvcc" is available in your PATH, or set the appropriate+directories with --extra-include-dirs and --extra-lib-dirs.++********************************************************************************'+++ac_ext=c+ac_cpp='$CPP $CPPFLAGS'+ac_compile='$CC -c $CFLAGS $CPPFLAGS conftest.$ac_ext >&5'+ac_link='$CC -o conftest$ac_exeext $CFLAGS $CPPFLAGS $LDFLAGS conftest.$ac_ext $LIBS >&5'+ac_compiler_gnu=$ac_cv_c_compiler_gnu+{ echo "$as_me:$LINENO: checking how to run the C preprocessor" >&5+echo $ECHO_N "checking how to run the C preprocessor... $ECHO_C" >&6; }+# On Suns, sometimes $CPP names a directory.+if test -n "$CPP" && test -d "$CPP"; then+ CPP=+fi+if test -z "$CPP"; then+ if test "${ac_cv_prog_CPP+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ # Double quotes because CPP needs to be expanded+ for CPP in "$CC -E" "$CC -E -traditional-cpp" "/lib/cpp"+ do+ ac_preproc_ok=false+for ac_c_preproc_warn_flag in '' yes+do+ # Use a header file that comes with gcc, so configuring glibc+ # with a fresh cross-compiler works.+ # Prefer <limits.h> to <assert.h> if __STDC__ is defined, since+ # <limits.h> exists even on freestanding compilers.+ # On the NeXT, cc -E runs the code through the compiler's parser,+ # not just through cpp. "Syntax error" is here to catch this case.+ cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+#ifdef __STDC__+# include <limits.h>+#else+# include <assert.h>+#endif+ Syntax error+_ACEOF+if { (ac_try="$ac_cpp conftest.$ac_ext"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_cpp conftest.$ac_ext") 2>conftest.er1+ ac_status=$?+ grep -v '^ *+' conftest.er1 >conftest.err+ rm -f conftest.er1+ cat conftest.err >&5+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); } >/dev/null && {+ test -z "$ac_c_preproc_warn_flag$ac_c_werror_flag" ||+ test ! -s conftest.err+ }; then+ :+else+ echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5++ # Broken: fails on valid input.+continue+fi++rm -f conftest.err conftest.$ac_ext++ # OK, works on sane cases. Now check whether nonexistent headers+ # can be detected and how.+ cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+#include <ac_nonexistent.h>+_ACEOF+if { (ac_try="$ac_cpp conftest.$ac_ext"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_cpp conftest.$ac_ext") 2>conftest.er1+ ac_status=$?+ grep -v '^ *+' conftest.er1 >conftest.err+ rm -f conftest.er1+ cat conftest.err >&5+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); } >/dev/null && {+ test -z "$ac_c_preproc_warn_flag$ac_c_werror_flag" ||+ test ! -s conftest.err+ }; then+ # Broken: success on invalid input.+continue+else+ echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5++ # Passes both tests.+ac_preproc_ok=:+break+fi++rm -f conftest.err conftest.$ac_ext++done+# Because of `break', _AC_PREPROC_IFELSE's cleaning code was skipped.+rm -f conftest.err conftest.$ac_ext+if $ac_preproc_ok; then+ break+fi++ done+ ac_cv_prog_CPP=$CPP++fi+ CPP=$ac_cv_prog_CPP+else+ ac_cv_prog_CPP=$CPP+fi+{ echo "$as_me:$LINENO: result: $CPP" >&5+echo "${ECHO_T}$CPP" >&6; }+ac_preproc_ok=false+for ac_c_preproc_warn_flag in '' yes+do+ # Use a header file that comes with gcc, so configuring glibc+ # with a fresh cross-compiler works.+ # Prefer <limits.h> to <assert.h> if __STDC__ is defined, since+ # <limits.h> exists even on freestanding compilers.+ # On the NeXT, cc -E runs the code through the compiler's parser,+ # not just through cpp. "Syntax error" is here to catch this case.+ cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+#ifdef __STDC__+# include <limits.h>+#else+# include <assert.h>+#endif+ Syntax error+_ACEOF+if { (ac_try="$ac_cpp conftest.$ac_ext"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_cpp conftest.$ac_ext") 2>conftest.er1+ ac_status=$?+ grep -v '^ *+' conftest.er1 >conftest.err+ rm -f conftest.er1+ cat conftest.err >&5+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); } >/dev/null && {+ test -z "$ac_c_preproc_warn_flag$ac_c_werror_flag" ||+ test ! -s conftest.err+ }; then+ :+else+ echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5++ # Broken: fails on valid input.+continue+fi++rm -f conftest.err conftest.$ac_ext++ # OK, works on sane cases. Now check whether nonexistent headers+ # can be detected and how.+ cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+#include <ac_nonexistent.h>+_ACEOF+if { (ac_try="$ac_cpp conftest.$ac_ext"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_cpp conftest.$ac_ext") 2>conftest.er1+ ac_status=$?+ grep -v '^ *+' conftest.er1 >conftest.err+ rm -f conftest.er1+ cat conftest.err >&5+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); } >/dev/null && {+ test -z "$ac_c_preproc_warn_flag$ac_c_werror_flag" ||+ test ! -s conftest.err+ }; then+ # Broken: success on invalid input.+continue+else+ echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5++ # Passes both tests.+ac_preproc_ok=:+break+fi++rm -f conftest.err conftest.$ac_ext++done+# Because of `break', _AC_PREPROC_IFELSE's cleaning code was skipped.+rm -f conftest.err conftest.$ac_ext+if $ac_preproc_ok; then+ :+else+ { { echo "$as_me:$LINENO: error: C preprocessor \"$CPP\" fails sanity check+See \`config.log' for more details." >&5+echo "$as_me: error: C preprocessor \"$CPP\" fails sanity check+See \`config.log' for more details." >&2;}+ { (exit 1); exit 1; }; }+fi++ac_ext=c+ac_cpp='$CPP $CPPFLAGS'+ac_compile='$CC -c $CFLAGS $CPPFLAGS conftest.$ac_ext >&5'+ac_link='$CC -o conftest$ac_exeext $CFLAGS $CPPFLAGS $LDFLAGS conftest.$ac_ext $LIBS >&5'+ac_compiler_gnu=$ac_cv_c_compiler_gnu+++{ echo "$as_me:$LINENO: checking for grep that handles long lines and -e" >&5+echo $ECHO_N "checking for grep that handles long lines and -e... $ECHO_C" >&6; }+if test "${ac_cv_path_GREP+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ # Extract the first word of "grep ggrep" to use in msg output+if test -z "$GREP"; then+set dummy grep ggrep; ac_prog_name=$2+if test "${ac_cv_path_GREP+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ ac_path_GREP_found=false+# Loop through the user's path and test for each of PROGNAME-LIST+as_save_IFS=$IFS; IFS=$PATH_SEPARATOR+for as_dir in $PATH$PATH_SEPARATOR/usr/xpg4/bin+do+ IFS=$as_save_IFS+ test -z "$as_dir" && as_dir=.+ for ac_prog in grep ggrep; do+ for ac_exec_ext in '' $ac_executable_extensions; do+ ac_path_GREP="$as_dir/$ac_prog$ac_exec_ext"+ { test -f "$ac_path_GREP" && $as_test_x "$ac_path_GREP"; } || continue+ # Check for GNU ac_path_GREP and select it if it is found.+ # Check for GNU $ac_path_GREP+case `"$ac_path_GREP" --version 2>&1` in+*GNU*)+ ac_cv_path_GREP="$ac_path_GREP" ac_path_GREP_found=:;;+*)+ ac_count=0+ echo $ECHO_N "0123456789$ECHO_C" >"conftest.in"+ while :+ do+ cat "conftest.in" "conftest.in" >"conftest.tmp"+ mv "conftest.tmp" "conftest.in"+ cp "conftest.in" "conftest.nl"+ echo 'GREP' >> "conftest.nl"+ "$ac_path_GREP" -e 'GREP$' -e '-(cannot match)-' < "conftest.nl" >"conftest.out" 2>/dev/null || break+ diff "conftest.out" "conftest.nl" >/dev/null 2>&1 || break+ ac_count=`expr $ac_count + 1`+ if test $ac_count -gt ${ac_path_GREP_max-0}; then+ # Best one so far, save it but keep looking for a better one+ ac_cv_path_GREP="$ac_path_GREP"+ ac_path_GREP_max=$ac_count+ fi+ # 10*(2^10) chars as input seems more than enough+ test $ac_count -gt 10 && break+ done+ rm -f conftest.in conftest.tmp conftest.nl conftest.out;;+esac+++ $ac_path_GREP_found && break 3+ done+done++done+IFS=$as_save_IFS+++fi++GREP="$ac_cv_path_GREP"+if test -z "$GREP"; then+ { { echo "$as_me:$LINENO: error: no acceptable $ac_prog_name could be found in $PATH$PATH_SEPARATOR/usr/xpg4/bin" >&5+echo "$as_me: error: no acceptable $ac_prog_name could be found in $PATH$PATH_SEPARATOR/usr/xpg4/bin" >&2;}+ { (exit 1); exit 1; }; }+fi++else+ ac_cv_path_GREP=$GREP+fi+++fi+{ echo "$as_me:$LINENO: result: $ac_cv_path_GREP" >&5+echo "${ECHO_T}$ac_cv_path_GREP" >&6; }+ GREP="$ac_cv_path_GREP"+++{ echo "$as_me:$LINENO: checking for egrep" >&5+echo $ECHO_N "checking for egrep... $ECHO_C" >&6; }+if test "${ac_cv_path_EGREP+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ if echo a | $GREP -E '(a|b)' >/dev/null 2>&1+ then ac_cv_path_EGREP="$GREP -E"+ else+ # Extract the first word of "egrep" to use in msg output+if test -z "$EGREP"; then+set dummy egrep; ac_prog_name=$2+if test "${ac_cv_path_EGREP+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ ac_path_EGREP_found=false+# Loop through the user's path and test for each of PROGNAME-LIST+as_save_IFS=$IFS; IFS=$PATH_SEPARATOR+for as_dir in $PATH$PATH_SEPARATOR/usr/xpg4/bin+do+ IFS=$as_save_IFS+ test -z "$as_dir" && as_dir=.+ for ac_prog in egrep; do+ for ac_exec_ext in '' $ac_executable_extensions; do+ ac_path_EGREP="$as_dir/$ac_prog$ac_exec_ext"+ { test -f "$ac_path_EGREP" && $as_test_x "$ac_path_EGREP"; } || continue+ # Check for GNU ac_path_EGREP and select it if it is found.+ # Check for GNU $ac_path_EGREP+case `"$ac_path_EGREP" --version 2>&1` in+*GNU*)+ ac_cv_path_EGREP="$ac_path_EGREP" ac_path_EGREP_found=:;;+*)+ ac_count=0+ echo $ECHO_N "0123456789$ECHO_C" >"conftest.in"+ while :+ do+ cat "conftest.in" "conftest.in" >"conftest.tmp"+ mv "conftest.tmp" "conftest.in"+ cp "conftest.in" "conftest.nl"+ echo 'EGREP' >> "conftest.nl"+ "$ac_path_EGREP" 'EGREP$' < "conftest.nl" >"conftest.out" 2>/dev/null || break+ diff "conftest.out" "conftest.nl" >/dev/null 2>&1 || break+ ac_count=`expr $ac_count + 1`+ if test $ac_count -gt ${ac_path_EGREP_max-0}; then+ # Best one so far, save it but keep looking for a better one+ ac_cv_path_EGREP="$ac_path_EGREP"+ ac_path_EGREP_max=$ac_count+ fi+ # 10*(2^10) chars as input seems more than enough+ test $ac_count -gt 10 && break+ done+ rm -f conftest.in conftest.tmp conftest.nl conftest.out;;+esac+++ $ac_path_EGREP_found && break 3+ done+done++done+IFS=$as_save_IFS+++fi++EGREP="$ac_cv_path_EGREP"+if test -z "$EGREP"; then+ { { echo "$as_me:$LINENO: error: no acceptable $ac_prog_name could be found in $PATH$PATH_SEPARATOR/usr/xpg4/bin" >&5+echo "$as_me: error: no acceptable $ac_prog_name could be found in $PATH$PATH_SEPARATOR/usr/xpg4/bin" >&2;}+ { (exit 1); exit 1; }; }+fi++else+ ac_cv_path_EGREP=$EGREP+fi+++ fi+fi+{ echo "$as_me:$LINENO: result: $ac_cv_path_EGREP" >&5+echo "${ECHO_T}$ac_cv_path_EGREP" >&6; }+ EGREP="$ac_cv_path_EGREP"+++{ echo "$as_me:$LINENO: checking for ANSI C header files" >&5+echo $ECHO_N "checking for ANSI C header files... $ECHO_C" >&6; }+if test "${ac_cv_header_stdc+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+#include <stdlib.h>+#include <stdarg.h>+#include <string.h>+#include <float.h>++int+main ()+{++ ;+ return 0;+}+_ACEOF+rm -f conftest.$ac_objext+if { (ac_try="$ac_compile"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_compile") 2>conftest.er1+ ac_status=$?+ grep -v '^ *+' conftest.er1 >conftest.err+ rm -f conftest.er1+ cat conftest.err >&5+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); } && {+ test -z "$ac_c_werror_flag" ||+ test ! -s conftest.err+ } && test -s conftest.$ac_objext; then+ ac_cv_header_stdc=yes+else+ echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5++ ac_cv_header_stdc=no+fi++rm -f core conftest.err conftest.$ac_objext conftest.$ac_ext++if test $ac_cv_header_stdc = yes; then+ # SunOS 4.x string.h does not declare mem*, contrary to ANSI.+ cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+#include <string.h>++_ACEOF+if (eval "$ac_cpp conftest.$ac_ext") 2>&5 |+ $EGREP "memchr" >/dev/null 2>&1; then+ :+else+ ac_cv_header_stdc=no+fi+rm -f -r conftest*++fi++if test $ac_cv_header_stdc = yes; then+ # ISC 2.0.2 stdlib.h does not declare free, contrary to ANSI.+ cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+#include <stdlib.h>++_ACEOF+if (eval "$ac_cpp conftest.$ac_ext") 2>&5 |+ $EGREP "free" >/dev/null 2>&1; then+ :+else+ ac_cv_header_stdc=no+fi+rm -f -r conftest*++fi++if test $ac_cv_header_stdc = yes; then+ # /bin/cc in Irix-4.0.5 gets non-ANSI ctype macros unless using -ansi.+ if test "$cross_compiling" = yes; then+ :+else+ cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+#include <ctype.h>+#include <stdlib.h>+#if ((' ' & 0x0FF) == 0x020)+# define ISLOWER(c) ('a' <= (c) && (c) <= 'z')+# define TOUPPER(c) (ISLOWER(c) ? 'A' + ((c) - 'a') : (c))+#else+# define ISLOWER(c) \+ (('a' <= (c) && (c) <= 'i') \+ || ('j' <= (c) && (c) <= 'r') \+ || ('s' <= (c) && (c) <= 'z'))+# define TOUPPER(c) (ISLOWER(c) ? ((c) | 0x40) : (c))+#endif++#define XOR(e, f) (((e) && !(f)) || (!(e) && (f)))+int+main ()+{+ int i;+ for (i = 0; i < 256; i++)+ if (XOR (islower (i), ISLOWER (i))+ || toupper (i) != TOUPPER (i))+ return 2;+ return 0;+}+_ACEOF+rm -f conftest$ac_exeext+if { (ac_try="$ac_link"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_link") 2>&5+ ac_status=$?+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); } && { ac_try='./conftest$ac_exeext'+ { (case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_try") 2>&5+ ac_status=$?+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); }; }; then+ :+else+ echo "$as_me: program exited with status $ac_status" >&5+echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5++( exit $ac_status )+ac_cv_header_stdc=no+fi+rm -f core *.core core.conftest.* gmon.out bb.out conftest$ac_exeext conftest.$ac_objext conftest.$ac_ext+fi+++fi+fi+{ echo "$as_me:$LINENO: result: $ac_cv_header_stdc" >&5+echo "${ECHO_T}$ac_cv_header_stdc" >&6; }+if test $ac_cv_header_stdc = yes; then++cat >>confdefs.h <<\_ACEOF+#define STDC_HEADERS 1+_ACEOF++fi++# On IRIX 5.3, sys/types and inttypes.h are conflicting.++++++++++for ac_header in sys/types.h sys/stat.h stdlib.h string.h memory.h strings.h \+ inttypes.h stdint.h unistd.h+do+as_ac_Header=`echo "ac_cv_header_$ac_header" | $as_tr_sh`+{ echo "$as_me:$LINENO: checking for $ac_header" >&5+echo $ECHO_N "checking for $ac_header... $ECHO_C" >&6; }+if { as_var=$as_ac_Header; eval "test \"\${$as_var+set}\" = set"; }; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+$ac_includes_default++#include <$ac_header>+_ACEOF+rm -f conftest.$ac_objext+if { (ac_try="$ac_compile"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_compile") 2>conftest.er1+ ac_status=$?+ grep -v '^ *+' conftest.er1 >conftest.err+ rm -f conftest.er1+ cat conftest.err >&5+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); } && {+ test -z "$ac_c_werror_flag" ||+ test ! -s conftest.err+ } && test -s conftest.$ac_objext; then+ eval "$as_ac_Header=yes"+else+ echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5++ eval "$as_ac_Header=no"+fi++rm -f core conftest.err conftest.$ac_objext conftest.$ac_ext+fi+ac_res=`eval echo '${'$as_ac_Header'}'`+ { echo "$as_me:$LINENO: result: $ac_res" >&5+echo "${ECHO_T}$ac_res" >&6; }+if test `eval echo '${'$as_ac_Header'}'` = yes; then+ cat >>confdefs.h <<_ACEOF+#define `echo "HAVE_$ac_header" | $as_tr_cpp` 1+_ACEOF++fi++done+++++for ac_header in cuda.h cuda_runtime_api.h+do+as_ac_Header=`echo "ac_cv_header_$ac_header" | $as_tr_sh`+if { as_var=$as_ac_Header; eval "test \"\${$as_var+set}\" = set"; }; then+ { echo "$as_me:$LINENO: checking for $ac_header" >&5+echo $ECHO_N "checking for $ac_header... $ECHO_C" >&6; }+if { as_var=$as_ac_Header; eval "test \"\${$as_var+set}\" = set"; }; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+fi+ac_res=`eval echo '${'$as_ac_Header'}'`+ { echo "$as_me:$LINENO: result: $ac_res" >&5+echo "${ECHO_T}$ac_res" >&6; }+else+ # Is the header compilable?+{ echo "$as_me:$LINENO: checking $ac_header usability" >&5+echo $ECHO_N "checking $ac_header usability... $ECHO_C" >&6; }+cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+$ac_includes_default+#include <$ac_header>+_ACEOF+rm -f conftest.$ac_objext+if { (ac_try="$ac_compile"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_compile") 2>conftest.er1+ ac_status=$?+ grep -v '^ *+' conftest.er1 >conftest.err+ rm -f conftest.er1+ cat conftest.err >&5+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); } && {+ test -z "$ac_c_werror_flag" ||+ test ! -s conftest.err+ } && test -s conftest.$ac_objext; then+ ac_header_compiler=yes+else+ echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5++ ac_header_compiler=no+fi++rm -f core conftest.err conftest.$ac_objext conftest.$ac_ext+{ echo "$as_me:$LINENO: result: $ac_header_compiler" >&5+echo "${ECHO_T}$ac_header_compiler" >&6; }++# Is the header present?+{ echo "$as_me:$LINENO: checking $ac_header presence" >&5+echo $ECHO_N "checking $ac_header presence... $ECHO_C" >&6; }+cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */+#include <$ac_header>+_ACEOF+if { (ac_try="$ac_cpp conftest.$ac_ext"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_cpp conftest.$ac_ext") 2>conftest.er1+ ac_status=$?+ grep -v '^ *+' conftest.er1 >conftest.err+ rm -f conftest.er1+ cat conftest.err >&5+ echo "$as_me:$LINENO: \$? = $ac_status" >&5+ (exit $ac_status); } >/dev/null && {+ test -z "$ac_c_preproc_warn_flag$ac_c_werror_flag" ||+ test ! -s conftest.err+ }; then+ ac_header_preproc=yes+else+ echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5++ ac_header_preproc=no+fi++rm -f conftest.err conftest.$ac_ext+{ echo "$as_me:$LINENO: result: $ac_header_preproc" >&5+echo "${ECHO_T}$ac_header_preproc" >&6; }++# So? 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= $ac_status" >&5+ (exit $ac_status); } && {+ test -z "$ac_c_werror_flag" ||+ test ! -s conftest.err+ } && test -s conftest$ac_exeext &&+ $as_test_x conftest$ac_exeext; then+ ac_cv_search_cuDriverGetVersion=$ac_res+else+ echo "$as_me: failed program was:" >&5+sed 's/^/| /' conftest.$ac_ext >&5+++fi++rm -f core conftest.err conftest.$ac_objext conftest_ipa8_conftest.oo \+ conftest$ac_exeext+ if test "${ac_cv_search_cuDriverGetVersion+set}" = set; then+ break+fi+done+if test "${ac_cv_search_cuDriverGetVersion+set}" = set; then+ :+else+ ac_cv_search_cuDriverGetVersion=no+fi+rm conftest.$ac_ext+LIBS=$ac_func_search_save_LIBS+fi+{ echo "$as_me:$LINENO: result: $ac_cv_search_cuDriverGetVersion" >&5+echo "${ECHO_T}$ac_cv_search_cuDriverGetVersion" >&6; }+ac_res=$ac_cv_search_cuDriverGetVersion+if test "$ac_res" != no; then+ test "$ac_res" = "none required" || LIBS="$ac_res $LIBS"++else+ { { echo "$as_me:$LINENO: error: could not find CUDA driver library${longerror}" >&5+echo "$as_me: error: could not find CUDA driver library${longerror}" >&2;}+ { (exit 1); exit 1; }; }+fi++{ echo "$as_me:$LINENO: checking for library containing cudaRuntimeGetVersion" >&5+echo $ECHO_N "checking for library containing cudaRuntimeGetVersion... $ECHO_C" >&6; }+if test "${ac_cv_search_cudaRuntimeGetVersion+set}" = set; then+ echo $ECHO_N "(cached) $ECHO_C" >&6+else+ ac_func_search_save_LIBS=$LIBS+cat >conftest.$ac_ext <<_ACEOF+/* confdefs.h. */+_ACEOF+cat confdefs.h >>conftest.$ac_ext+cat >>conftest.$ac_ext <<_ACEOF+/* end confdefs.h. */++/* Override any GCC internal prototype to avoid an error.+ Use char because int might match the return type of a GCC+ builtin and then its argument prototype would still apply. */+#ifdef __cplusplus+extern "C"+#endif+char cudaRuntimeGetVersion ();+int+main ()+{+return cudaRuntimeGetVersion ();+ ;+ return 0;+}+_ACEOF+for ac_lib in '' cudart; do+ if test -z "$ac_lib"; then+ ac_res="none required"+ else+ ac_res=-l$ac_lib+ LIBS="-l$ac_lib $ac_func_search_save_LIBS"+ fi+ rm -f conftest.$ac_objext conftest$ac_exeext+if { (ac_try="$ac_link"+case "(($ac_try" in+ *\"* | *\`* | *\\*) ac_try_echo=\$ac_try;;+ *) ac_try_echo=$ac_try;;+esac+eval "echo \"\$as_me:$LINENO: $ac_try_echo\"") >&5+ (eval "$ac_link") 2>conftest.er1+ ac_status=$?+ grep -v '^ *+' conftest.er1 >conftest.err+ rm -f conftest.er1+ cat conftest.err >&5+ echo "$as_me:$LINENO: \$? 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By we need to know if files were specified by the user.+ac_need_defaults=:+while test $# != 0+do+ case $1 in+ --*=*)+ ac_option=`expr "X$1" : 'X\([^=]*\)='`+ ac_optarg=`expr "X$1" : 'X[^=]*=\(.*\)'`+ ac_shift=:+ ;;+ *)+ ac_option=$1+ ac_optarg=$2+ ac_shift=shift+ ;;+ esac++ case $ac_option in+ # Handling of the options.+ -recheck | --recheck | --rechec | --reche | --rech | --rec | --re | --r)+ ac_cs_recheck=: ;;+ --version | --versio | --versi | --vers | --ver | --ve | --v | -V )+ echo "$ac_cs_version"; exit ;;+ --debug | --debu | --deb | --de | --d | -d )+ debug=: ;;+ --file | --fil | --fi | --f )+ $ac_shift+ CONFIG_FILES="$CONFIG_FILES $ac_optarg"+ ac_need_defaults=false;;+ --he | --h | --help | --hel | -h )+ echo "$ac_cs_usage"; exit ;;+ -q | -quiet | --quiet | --quie | --qui | --qu | --q \+ | -silent | --silent | --silen | --sile | --sil | --si | --s)+ ac_cs_silent=: ;;++ # This is an error.+ -*) { echo "$as_me: error: unrecognized option: $1+Try \`$0 --help' for more information." >&2+ { (exit 1); exit 1; }; } ;;++ *) ac_config_targets="$ac_config_targets $1"+ ac_need_defaults=false ;;++ esac+ shift+done++ac_configure_extra_args=++if $ac_cs_silent; then+ exec 6>/dev/null+ ac_configure_extra_args="$ac_configure_extra_args --silent"+fi++_ACEOF+cat >>$CONFIG_STATUS <<_ACEOF+if \$ac_cs_recheck; then+ echo "running CONFIG_SHELL=$SHELL $SHELL $0 "$ac_configure_args \$ac_configure_extra_args " --no-create --no-recursion" >&6+ CONFIG_SHELL=$SHELL+ export CONFIG_SHELL+ exec $SHELL "$0"$ac_configure_args \$ac_configure_extra_args --no-create --no-recursion+fi++_ACEOF+cat >>$CONFIG_STATUS <<\_ACEOF+exec 5>>config.log+{+ echo+ sed 'h;s/./-/g;s/^.../## /;s/...$/ ##/;p;x;p;x' <<_ASBOX+## Running $as_me. ##+_ASBOX+ echo "$ac_log"+} >&5++_ACEOF+cat >>$CONFIG_STATUS <<_ACEOF+_ACEOF++cat >>$CONFIG_STATUS <<\_ACEOF++# Handling of arguments.+for ac_config_target in $ac_config_targets+do+ case $ac_config_target in+ "cuda.buildinfo") CONFIG_FILES="$CONFIG_FILES cuda.buildinfo" ;;++ *) { { echo "$as_me:$LINENO: error: invalid argument: $ac_config_target" >&5+echo "$as_me: error: invalid argument: $ac_config_target" >&2;}+ { (exit 1); exit 1; }; };;+ esac+done+++# If the user did not use the arguments to specify the items to instantiate,+# then the envvar interface is used. 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Make it in the build tree+# simply because there is no reason against having it here, and in addition,+# creating and moving files from /tmp can sometimes cause problems.+# Hook for its removal unless debugging.+# Note that there is a small window in which the directory will not be cleaned:+# after its creation but before its name has been assigned to `$tmp'.+$debug ||+{+ tmp=+ trap 'exit_status=$?+ { test -z "$tmp" || test ! -d "$tmp" || rm -fr "$tmp"; } && exit $exit_status+' 0+ trap '{ (exit 1); exit 1; }' 1 2 13 15+}+# Create a (secure) tmp directory for tmp files.++{+ tmp=`(umask 077 && mktemp -d "./confXXXXXX") 2>/dev/null` &&+ test -n "$tmp" && test -d "$tmp"+} ||+{+ tmp=./conf$$-$RANDOM+ (umask 077 && mkdir "$tmp")+} ||+{+ echo "$me: cannot create a temporary directory in ." >&2+ { (exit 1); exit 1; }+}++#+# Set up the sed scripts for CONFIG_FILES section.+#++# No need to generate the scripts if there are no CONFIG_FILES.+# This happens for instance when ./config.status config.h+if test -n "$CONFIG_FILES"; then++_ACEOF++++ac_delim='%!_!# '+for ac_last_try in false false false false false :; do+ cat >conf$$subs.sed <<_ACEOF+SHELL!$SHELL$ac_delim+PATH_SEPARATOR!$PATH_SEPARATOR$ac_delim+PACKAGE_NAME!$PACKAGE_NAME$ac_delim+PACKAGE_TARNAME!$PACKAGE_TARNAME$ac_delim+PACKAGE_VERSION!$PACKAGE_VERSION$ac_delim+PACKAGE_STRING!$PACKAGE_STRING$ac_delim+PACKAGE_BUGREPORT!$PACKAGE_BUGREPORT$ac_delim+exec_prefix!$exec_prefix$ac_delim+prefix!$prefix$ac_delim+program_transform_name!$program_transform_name$ac_delim+bindir!$bindir$ac_delim+sbindir!$sbindir$ac_delim+libexecdir!$libexecdir$ac_delim+datarootdir!$datarootdir$ac_delim+datadir!$datadir$ac_delim+sysconfdir!$sysconfdir$ac_delim+sharedstatedir!$sharedstatedir$ac_delim+localstatedir!$localstatedir$ac_delim+includedir!$includedir$ac_delim+oldincludedir!$oldincludedir$ac_delim+docdir!$docdir$ac_delim+infodir!$infodir$ac_delim+htmldir!$htmldir$ac_delim+dvidir!$dvidir$ac_delim+pdfdir!$pdfdir$ac_delim+psdir!$psdir$ac_delim+libdir!$libdir$ac_delim+localedir!$localedir$ac_delim+mandir!$mandir$ac_delim+DEFS!$DEFS$ac_delim+ECHO_C!$ECHO_C$ac_delim+ECHO_N!$ECHO_N$ac_delim+ECHO_T!$ECHO_T$ac_delim+LIBS!$LIBS$ac_delim+build_alias!$build_alias$ac_delim+host_alias!$host_alias$ac_delim+target_alias!$target_alias$ac_delim+CC!$CC$ac_delim+CFLAGS!$CFLAGS$ac_delim+LDFLAGS!$LDFLAGS$ac_delim+CPPFLAGS!$CPPFLAGS$ac_delim+ac_ct_CC!$ac_ct_CC$ac_delim+EXEEXT!$EXEEXT$ac_delim+OBJEXT!$OBJEXT$ac_delim+build!$build$ac_delim+build_cpu!$build_cpu$ac_delim+build_vendor!$build_vendor$ac_delim+build_os!$build_os$ac_delim+host!$host$ac_delim+host_cpu!$host_cpu$ac_delim+host_vendor!$host_vendor$ac_delim+host_os!$host_os$ac_delim+target!$target$ac_delim+target_cpu!$target_cpu$ac_delim+target_vendor!$target_vendor$ac_delim+target_os!$target_os$ac_delim+NVCC!$NVCC$ac_delim+CPP!$CPP$ac_delim+GREP!$GREP$ac_delim+EGREP!$EGREP$ac_delim+cuda_cppflags!$cuda_cppflags$ac_delim+cuda_ldflags!$cuda_ldflags$ac_delim+cuda_c2hsflags!$cuda_c2hsflags$ac_delim+LIBOBJS!$LIBOBJS$ac_delim+LTLIBOBJS!$LTLIBOBJS$ac_delim+_ACEOF++ if test `sed -n "s/.*$ac_delim\$/X/p" conf$$subs.sed | grep -c X` = 65; then break elif $ac_last_try; then { { echo "$as_me:$LINENO: error: could not make $CONFIG_STATUS" >&5
configure.ac view
@@ -1,7 +1,7 @@-AC_INIT([Haskell CUDA bindings], [0.3.2], [tmcdonell@cse.unsw.edu.au], [cuda])+AC_INIT([Haskell CUDA bindings], [0.4.0.0], [tmcdonell@cse.unsw.edu.au], [cuda]) AC_CONFIG_SRCDIR([Foreign/CUDA.hs]) AC_CONFIG_FILES([cuda.buildinfo])-AC_PROG_CXX+AC_PROG_CC # Determine the target platform #@@ -14,25 +14,26 @@ AC_PATH_PROG(NVCC, nvcc) if test "$NVCC" != ""; then cuda_prefix="$(dirname $(dirname $NVCC))"- cuda_c2hsflags+="--cpp=$NVCC --cppopts=-E "- CPPFLAGS+="-I${cuda_prefix}/include "+ cuda_c2hsflags="--cpp=$NVCC --cppopts=-E "+ CPPFLAGS+=" -I${cuda_prefix}/include " # CC=${NVCC} case $target in- x86_64*) LDFLAGS+="-L${cuda_prefix}/lib64 " ;;- *) LDFLAGS+="-L${cuda_prefix}/lib " ;;+ x86_64*) LDFLAGS+=" -L${cuda_prefix}/lib64 " ;;+ *) LDFLAGS+=" -L${cuda_prefix}/lib " ;; esac fi -# Snow Leopard (Mac OS X 10.6) provides a C extension for creating lambda-like-# closure expressions (blocks), the syntax for which confuses the c2hs-# preprocessor. We disable this by undefining the __BLOCKS__ macro.+# Recent versions of Mac OS X (10.6 and later) provides a C extension for+# creating lambda-like closure expressions (blocks), the syntax for which+# confuses the c2hs preprocessor. We disable this by undefining the __BLOCKS__+# macro. # AC_MSG_CHECKING(for Apple Blocks extension)-if test -r "/System/Library/CoreServices/SystemVersion.plist"; then- SNOWLEOPARD=`grep '<string>10.6' /System/Library/CoreServices/SystemVersion.plist`+if test -r "/usr/include/stdlib.h"; then+ BLOCKS=`grep __BLOCKS__ /usr/include/stdlib.h` fi-if test "$SNOWLEOPARD" != ""; then+if test "$BLOCKS" != ""; then cuda_c2hsflags+="--cppopts=-U__BLOCKS__ " AC_MSG_RESULT(yes) else@@ -47,7 +48,7 @@ The configuration process failed to locate your CUDA installation. Ensure that you have installed the driver and developer toolkit, available from: - http://developer.nvidia.com/object/cuda.html+ http://developer.nvidia.com/cuda-downloads Then make sure that "nvcc" is available in your PATH, or set the appropriate directories with --extra-include-dirs and --extra-lib-dirs.
cuda.cabal view
@@ -1,5 +1,5 @@ Name: cuda-Version: 0.3.2.2+Version: 0.4.0.0 Synopsis: FFI binding to the CUDA interface for programming NVIDIA GPUs Description: The CUDA library provides a direct, general purpose C-like SPMD programming@@ -8,30 +8,12 @@ functions from Haskell-land. You will need to install the CUDA driver and developer toolkit. .- <http://developer.nvidia.com/object/cuda.html>+ <http://developer.nvidia.com/cuda-downloads> . The configure script will look for your CUDA installation in the standard places, and if the nvcc compiler is found in your PATH, relative to that. .- > CHANGE LOG- > 0.3.2- > - Initial support for CUDA 3.2- >- > 0.2.2- > - Foreign.CUDA.Analysis.optimalBlockSizeBy- >- > 0.2.1- > - Improved cabal configuration phase- > - Fixes for SDK 3.1 release changes- > - Additional CUDA 3.1 bindings- >- > 0.2- > - Occupancy calculator- > - Textures- > - Additional CUDA 3.0 bindings- >- > 0.1- > - Initial release+ This release is for version 4.0 of the CUDA toolkit. License: BSD3 License-file: LICENSE@@ -50,6 +32,7 @@ config.sub install-sh cuda.buildinfo.in+ cbits/stubs.h Library Exposed-Modules: Foreign.CUDA@@ -89,4 +72,9 @@ Build-depends: base >= 3 && < 5, bytestring, extensible-exceptions Extensions: ghc-options: -Wall -O2+++source-repository head+ type: git+ location: https://github.com/tmcdonell/cuda
− examples/Makefile
@@ -1,18 +0,0 @@-ifneq ($(emu),1)- PROJECTS := $(shell find src -name Makefile)-else- PROJECTS := $(shell find src -name Makefile | xargs grep -L 'USEDRVAPI')-endif---%.do :- $(MAKE) -C $(dir $*) $(MAKECMDGOALS)--all : $(addsuffix .do,$(PROJECTS))- @echo "Finished building all"--clean : $(addsuffix .do,$(PROJECTS))- @echo "Finished cleaning all"--clobber : $(addsuffix .do,$(PROJECTS))- @echo "Finished cleaning all"
− examples/common/common.mk
@@ -1,413 +0,0 @@-# -------------------------------------------------------------------------------#-# Copyright 1993-2009 NVIDIA Corporation. All rights reserved.-#-# NVIDIA Corporation and its licensors retain all intellectual property and -# proprietary rights in and to this software and related documentation. -# Any use, reproduction, disclosure, or distribution of this software -# and related documentation without an express license agreement from-# NVIDIA Corporation is strictly prohibited.-#-# Please refer to the applicable NVIDIA end user license agreement (EULA) -# associated with this source code for terms and conditions that govern -# your use of this NVIDIA software.-#-# --------------------------------------------------------------------------------# -------------------------------------------------------------------------------# Common Haskell/CUDA build system-# --------------------------------------------------------------------------------.SUFFIXES : .cu .cu_dbg.o .c_dbg.o .cpp_dbg.o .cu_rel.o .c_rel.o .cpp_rel.o .cubin .ptx--# No CUDA compatible device present-# MAIN_DEVICE := $(shell ghc -e "Control.Monad.liftM (Data.Either.either id Foreign.CUDA.deviceName) (Foreign.CUDA.props 0)")-# ifeq ($(MAIN_DEVICE),"Device Emulation (CPU)")-# emu := 1-# endif--# Add new SM Versions here as devices with new Compute Capability are released-SM_VERSIONS := sm_10 sm_11 sm_12 sm_13--# detect OS-OSUPPER := $(shell uname -s 2>/dev/null | tr [:lower:] [:upper:])-OSLOWER := $(shell uname -s 2>/dev/null | tr [:upper:] [:lower:])-DARWIN := $(strip $(findstring DARWIN, $(OSUPPER)))-ifneq ($(DARWIN),)- SNOWLEOPARD := $(strip $(findstring 10.6, $(shell egrep "<string>10\.6.*</string>" /System/Library/CoreServices/SystemVersion.plist)))-endif--# detect if 32 bit or 64 bit system-HP_64 := $(strip $(shell uname -m | grep 64))--# Basic directory setup-CUDA_INSTALL_PATH ?= /usr/local/cuda-CUDA_SDK_PATH ?= /Developer/GPU\ Computing/C--SRCDIR ?= .-ROOTDIR ?= ..-ROOTBINDIR := $(ROOTDIR)/../bin-BINDIR := $(ROOTBINDIR)/$(OSLOWER)-ROOTOBJDIR := obj-LIBDIR := $(ROOTDIR)/../lib-COMMONDIR := $(ROOTDIR)/../common--# Compilers-NVCC := $(CUDA_INSTALL_PATH)/bin/nvcc-GHC := ghc-C2HS := c2hs-HSC2HS := hsc2hs-CXX := g++-CC := gcc-LINK := g++ -fPIC--# Includes-INCLUDES += -I. -I$(CUDA_INSTALL_PATH)/include -I$(COMMONDIR)/include -I$(COMMONDIR)/src--# architecture flag for cubin build-CUBIN_ARCH_FLAG :=--# Warning flags-CXXWARN_FLAGS := \- -W -Wall \- -Wimplicit \- -Wswitch \- -Wformat \- -Wchar-subscripts \- -Wparentheses \- -Wmultichar \- -Wtrigraphs \- -Wpointer-arith \- -Wcast-align \- -Wreturn-type \- -Wno-unused-function--CWARN_FLAGS := $(CXXWARN_FLAGS) \- -Wstrict-prototypes \- -Wmissing-prototypes \- -Wmissing-declarations \- -Wnested-externs \- -Wmain--GHCWARN_FLAGS := \- -Wall--# cross-compilation flags-ifeq ($(x86_64),1)- NVCCFLAGS += -m64- ifneq ($(DARWIN),)- CXX_ARCH_FLAGS += -arch x86_64- else- CXX_ARCH_FLAGS += -m64- endif-else-ifeq ($(i386),1)- NVCCFLAGS += -m32- ifneq ($(DARWIN),)- CXX_ARCH_FLAGS += -arch i386- else- CXX_ARCH_FLAGS += -m32- endif-else- ifneq ($(SNOWLEOPARD),)- NVCCFLAGS += -m32- CXX_ARCH_FLAGS += -arch i386 -m32- endif-endif-endif--# Compiler-specific flags-NVCCFLAGS +=-GHCFLAGS += $(GHCWARN_FLAGS) -i$(SRCDIR) -i$(COMMONDIR)/src -i$(OBJDIR) -odir $(OBJDIR) -hidir $(OBJDIR) --make-CXXFLAGS += $(CXXWARN_FLAGS) $(CXX_ARCH_FLAGS)-CFLAGS += $(CWARN_FLAGS) $(CXX_ARCH_FLAGS)-LINK += $(CXX_ARCH_FLAGS)--# Common flags-COMMONFLAGS += $(INCLUDES) -DUNIX--# Debug/release configuration-ifeq ($(dbg),1)- COMMONFLAGS += -g- GHCFLAGS += -prof -auto-all -fhpc- NVCCFLAGS += -D_DEBUG- CXXFLAGS += -D_DEBUG- CFLAGS += -D_DEBUG- BINSUBDIR := debug- LIBSUFFIX := D-else- COMMONFLAGS += -O2- GHCFLAGS += -O2- BINSUBDIR := release- LIBSUFFIX :=- NVCCFLAGS += --compiler-options -fno-strict-aliasing- CXXFLAGS += -fno-strict-aliasing- CFLAGS += -fno-strict-aliasing-endif--# Device emulation configuration-ifeq ($(emu),1)- NVCCFLAGS += -deviceemu- CUDACCFLAGS +=- BINSUBDIR := emu$(BINSUBDIR)- LIBSUFFIX := $(LIBSUFFIX)_emu- # consistency, makes developing easier- C2HSFLAGS += --cppopts=-D__DEVICE_EMULATION__- GHCFLAGS += -D__DEVICE_EMULATION__- CXXFLAGS += -D__DEVICE_EMULATION__- CFLAGS += -D__DEVICE_EMULATION__-endif--# architecture flag for cubin build-CUBIN_ARCH_FLAG :=--# Libraries-LIB += -L$(LIBDIR) $(addprefix -l,$(EXTRALIBS))-ifeq ($(HP_64),)- LIB += -L$(CUDA_INSTALL_PATH)/lib-else- LIB += -L$(CUDA_INSTALL_PATH)/lib64-endif--# If dynamically linking to CUDA and CUDART, we exclude the libraries from the LIB-ifeq ($(USECUDADYNLIB),1)- LIB += -ldl -rdynamic-else- # static linking, we will statically link against CUDA and CUDART- ifeq ($(USEDRVAPI),1)- LIB += -lcuda- else- LIB += -lcudart- endif-endif--ifeq ($(USECUFFT),1)- ifeq ($(emu),1)- LIB += -lcufftemu- else- LIB += -lcufft- endif-endif--ifeq ($(USECUBLAS),1)- ifeq ($(emu),1)- LIB += -lcublasemu- else- LIB += -lcublas- endif-endif--ifeq ($(USECUDPP),1)- CUDPPLIB := cudpp-- ifneq ($(HP_64),)- CUDPPLIB := $(CUDPPLIB)64- endif-- ifeq ($(emu),1)- CUDPPLIB := $(CUDPPLIB)_emu- endif-- LIB += -l$(CUDPPLIB)-endif--# Library/executable configuration-ifneq ($(STATIC_LIB),)- TARGETDIR := $(LIBDIR)- TARGET := $(LIBDIR)/$(basename $(STATIC_LIB))$(LIBSUFFIX)$(suffix $(STATIC_LIB))- LINKLINE = ar rucv $(TARGET) $(OBJS); ranlib $(TARGET)-else-ifneq ($(DYNAMIC_LIB),)- TARGETDIR := $(LIBDIR)- TARGET := $(LIBDIR)/$(basename $(DYNAMIC_LIB))$(LIBSUFFIX)$(suffix $(DYNAMIC_LIB))- CFLAGS += -fPIC- CXXFLAGS += -fPIC- NVCCFLAGS += -Xcompiler -fPIC- ifneq ($(DARWIN),)- LINKLINE = $(LINK) -dynamiclib -o $(TARGET) -install_name "@rpath/$(notdir $(TARGET))" $(OBJS) $(LIB)- else- LINKLINE = $(LINK) -shared -o $(TARGET) -Wl,-rpath,$(notdir $(TARGET)) $(OBJS) $(LIB)- endif-else- TARGETDIR := $(BINDIR)/$(BINSUBDIR)- TARGET := $(TARGETDIR)/$(EXECUTABLE)- ifneq ($(HSMAIN),)- ifeq ($(suffix $(HSMAIN)),.chs)- FOO := $(HSMAIN)- CHSFILES += $(FOO)- HSMAIN = $(OBJDIR)/$(basename $(FOO)).hs- endif-- ifeq ($(dbg),1)-# OBJS += $(OBJDIR)/ptxvars.cu.o- LINKLINE = $(GHC) -o $(TARGET) $(LIB) $(OBJS) $(GHCFLAGS) $(HSMAIN)- else- LINKLINE = $(GHC) -o $(TARGET) $(LIB) $(OBJS) $(GHCFLAGS) $(HSMAIN)- endif- else- LINKLINE = $(LINK) -o $(TARGET) $(OBJS) $(LIB)- endif-endif-endif--# check if verbose-ifeq ($(verbose),1)- VERBOSE :=-else- VERBOSE := @-endif---# -------------------------------------------------------------------------------# Check for input flags and set compiler flags appropriately-# -------------------------------------------------------------------------------ifeq ($(fastmath),1)- NVCCFLAGS += -use_fast_math-endif--ifeq ($(keep),1)- NVCCFLAGS += -keep- NVCC_KEEP_CLEAN := *.i* *.cubin *.cu.c *.cudafe* *.fatbin.c *.ptx-endif--ifdef maxregisters- NVCCFLAGS += -maxrregcount $(maxregisters)-endif--# Add cudacc flags-NVCCFLAGS += $(CUDACCFLAGS)--# Add common flags-NVCCFLAGS += $(COMMONFLAGS)-CXXFLAGS += $(COMMONFLAGS)-CFLAGS += $(COMMONFLAGS)--ifeq ($(nvcc_warn_verbose),1)- NVCCFLAGS += $(addprefix --compiler-options ,$(CXXWARN_FLAGS))- NVCCFLAGS += --compiler-options -fno-strict-aliasing-endif---# -------------------------------------------------------------------------------# Set up object files-# -------------------------------------------------------------------------------OBJDIR := $(ROOTOBJDIR)/$(BINSUBDIR)-OBJS += $(patsubst %.cpp,$(OBJDIR)/%.cpp.o,$(notdir $(CCFILES)))-OBJS += $(patsubst %.c,$(OBJDIR)/%.c.o,$(notdir $(CFILES)))-OBJS += $(patsubst %.cu,$(OBJDIR)/%.cu.o,$(notdir $(CUFILES)))--# -------------------------------------------------------------------------------# Set up preprocessed Haskell files-# -------------------------------------------------------------------------------DEPS += $(patsubst %.chs,$(OBJDIR)/%.hs,$(notdir $(CHSFILES)))-DEPS += $(patsubst %.hsc,$(OBJDIR)/%.hs,$(notdir $(HSCFILES)))--# -------------------------------------------------------------------------------# Set up cubin output files-# -------------------------------------------------------------------------------CUBINDIR := $(SRCDIR)/data-CUBINS += $(patsubst %.cu,$(CUBINDIR)/%.cubin,$(notdir $(CUBINFILES)))--# -------------------------------------------------------------------------------# Set up PTX output files-# -------------------------------------------------------------------------------PTXDIR := $(SRCDIR)/data-PTXBINS += $(patsubst %.cu,$(PTXDIR)/%.ptx,$(notdir $(PTXFILES)))---# -------------------------------------------------------------------------------# Rules-# -------------------------------------------------------------------------------default: $(TARGET)--%.subdir :- $(VERBOSE)$(MAKE) -C $* $(MAKECMDGOALS)--$(OBJDIR)/%.c.o : $(SRCDIR)/%.c $(C_DEPS)- $(VERBOSE)$(CC) $(CFLAGS) -o $@ -c $<--$(OBJDIR)/%.cpp.o : $(SRCDIR)/%.cpp $(C_DEPS)- $(VERBOSE)$(CXX) $(CXXFLAGS) -o $@ -c $<--$(OBJDIR)/ptxvars.cu.o: makedirectories- $(VERBOSE)$(NVCC) -g -G --host-compilation=C -D__DEVICE_LAUNCH_PARAMETERS_H__ -Xptxas -fext -o $@ -c $(CUDA_INSTALL_PATH)/bin/ptxvars.cu--$(OBJDIR)/%.cu.o : $(SRCDIR)/%.cu $(CU_DEPS)- $(VERBOSE)$(NVCC) $(NVCCFLAGS) $(SMVERSIONFLAGS) -o $@ -c $<--$(OBJDIR)/%.hs : $(SRCDIR)/%.chs- $(VERBOSE)$(C2HS) $(C2HSFLAGS) --include=$(OBJDIR) $(addprefix --cppopts=,$(INCLUDES)) --output-dir=$(OBJDIR) --output=$(notdir $@) $<--$(OBJDIR)/%.hs : $(SRCDIR)/%.hsc- $(VERBOSE)$(HSC2HS) $(INCLUDES) -o $@ $<--$(CUBINDIR)/%.cubin : $(SRCDIR)/%.cu cubindirectory- $(VERBOSE)$(NVCC) $(CUBIN_ARCH_FLAG) $(NVCCFLAGS) $(SMVERSIONFLAGS) -o $@ -cubin $<--$(PTXDIR)/%.ptx : $(SRCDIR)/%.cu ptxdirectory- $(VERBOSE)$(NVCC) $(CUBIN_ARCH_FLAG) $(NVCCFLAGS) $(SMVERSIONFLAGS) -o $@ -ptx $<--#-# The following definition is a template that gets instantiated for each SM-# version (sm_10, sm_13, etc.) stored in SMVERSIONS. It does 2 things:-# 1. It adds to OBJS a .cu_sm_XX.o for each .cu file it finds in CUFILES_sm_XX.-# 2. It generates a rule for building .cu_sm_XX.o files from the corresponding-# .cu file.-#-# The intended use for this is to allow Makefiles that use common.mk to compile-# files to different Compute Capability targets (aka SM arch version). To do-# so, in the Makefile, list files for each SM arch separately, like so:-#-# CUFILES_sm_10 := mycudakernel_sm10.cu app.cu-# CUFILES_sm_12 := anothercudakernel_sm12.cu-#-define SMVERSION_template-OBJS += $(patsubst %.cu,$(OBJDIR)/%.cu_$(1).o,$(notdir $(CUFILES_$(1))))-$(OBJDIR)/%.cu_$(1).o : $(SRCDIR)/%.cu $(CU_DEPS)- $(VERBOSE)$(NVCC) -o $$@ -c $$< $(NVCCFLAGS) -arch $(1)-endef--# This line invokes the above template for each arch version stored in-# SM_VERSIONS. The call funtion invokes the template, and the eval-# function interprets it as make commands.-$(foreach smver,$(SM_VERSIONS),$(eval $(call SMVERSION_template,$(smver))))--$(TARGET): makedirectories $(DEPS) $(OBJS) $(CUBINS) $(PTXBINS) Makefile $(addsuffix .subdir,$(SUBDIRS))- $(VERBOSE)$(LINKLINE)--cubindirectory:- $(VERBOSE)mkdir -p $(CUBINDIR)--ptxdirectory:- $(VERBOSE)mkdir -p $(PTXDIR)--makedirectories:- $(VERBOSE)mkdir -p $(LIBDIR)- $(VERBOSE)mkdir -p $(OBJDIR)- $(VERBOSE)mkdir -p $(TARGETDIR)---tidy : $(addsuffix .subdir,$(SUBDIRS))- $(VERBOSE)find . | egrep "#" | xargs rm -f- $(VERBOSE)find . | egrep "\~" | xargs rm -f--clean : tidy- $(VERBOSE)rm -f $(OBJS)- $(VERBOSE)rm -f $(CUBINS)- $(VERBOSE)rm -f $(PTXBINS)- $(VERBOSE)rm -f $(TARGET)- $(VERBOSE)rm -f $(NVCC_KEEP_CLEAN)- $(VERBOSE)rm -f $(ROOTBINDIR)/$(OSLOWER)/$(BINSUBDIR)/*.ppm- $(VERBOSE)rm -f $(ROOTBINDIR)/$(OSLOWER)/$(BINSUBDIR)/*.pgm- $(VERBOSE)rm -f $(ROOTBINDIR)/$(OSLOWER)/$(BINSUBDIR)/*.bin- $(VERBOSE)rm -f $(ROOTBINDIR)/$(OSLOWER)/$(BINSUBDIR)/*.bmp--clobber : clean- $(VERBOSE)rm -rf $(ROOTOBJDIR)--spotless:- $(VERBOSE)rm -rf .hpc- $(VERBOSE)rm -f $(EXECUTABLE).{aux,hp,prof,ps}- $(VERBOSE)rm -f *.html- $(VERBOSE)find . -name "*.tix" -print0 | xargs -0 rm -f-
− examples/common/include/cudpp/LICENSE
@@ -1,25 +0,0 @@-Copyright (c) 2007-2009 The Regents of the University of California, Davis-campus ("The Regents") and NVIDIA Corporation ("NVIDIA"). All rights reserved.--Redistribution and use in source and binary forms, with or without modification, -are permitted provided that the following conditions are met:-- * Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer.- * Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution.- * Neither the name of the The Regents, nor NVIDIA, nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission.--THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND -ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED -WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. -IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, -INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, -BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, -DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF -LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE -OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
− examples/common/include/cudpp/cudpp_globals.h
@@ -1,56 +0,0 @@-// --------------------------------------------------------------// cuDPP -- CUDA Data Parallel Primitives library-// --------------------------------------------------------------// $Revision: 5632 $-// $Date: 2009-07-01 14:36:01 +1000 (Wed, 01 Jul 2009) $-// --------------------------------------------------------------// This source code is distributed under the terms of license.txt in-// the root directory of this source distribution.-// ---------------------------------------------------------------/**- * @file- * cudpp_globals.h- *- * @brief Global declarations defining machine characteristics of GPU target- * These are currently set for best performance on G8X GPUs. The optimal- * parameters may change on future GPUs. In the future, we hope to make- * CUDPP a self-tuning library.- */--#ifndef __CUDPP_GLOBALS_H__-#define __CUDPP_GLOBALS_H__--const int NUM_BANKS = 16; /**< Number of shared memory banks */-const int LOG_NUM_BANKS = 4; /**< log_2(NUM_BANKS) */-const int CTA_SIZE = 128; /**< Number of threads in a CTA */-const int WARP_SIZE = 32; /**< Number of threads in a warp */-const int LOG_CTA_SIZE = 7; /**< log_2(CTA_SIZE) */-const int LOG_WARP_SIZE = 5; /**< log_2(WARP_SIZE) */-const int LOG_SIZEOF_FLOAT = 2; /**< log_2(sizeof(float)) */-const int SCAN_ELTS_PER_THREAD = 8; /**< Number of elements per scan thread */-const int SEGSCAN_ELTS_PER_THREAD = 8; /**< Number of elements per segmented scan thread */--const int maxSharedMemoryPerBlock = 16384; /**< Number of bytes of shared- memory in each block */-const int maxThreadsPerBlock = CTA_SIZE; /**< Maximum number of- * threads in a CTA */--#define AVOID_BANK_CONFLICTS /**< Set if by default, we want our- * shared memory allocation to perform- * additional computation to avoid bank- * conflicts */--#ifdef AVOID_BANK_CONFLICTS-#define CONFLICT_FREE_OFFSET(index) ((index) >> LOG_NUM_BANKS)-#else-#define CONFLICT_FREE_OFFSET(index) (0)-#endif--#endif // __CUDPP_GLOBALS_H__--// Leave this at the end of the file-// Local Variables:-// mode:c++-// c-file-style: "NVIDIA"-// End:
@@ -1,115 +0,0 @@-// --------------------------------------------------------------// cuDPP -- CUDA Data Parallel Primitives library-// --------------------------------------------------------------// $Revision: 5633 $-// $Date: 2009-07-01 15:02:51 +1000 (Wed, 01 Jul 2009) $-// --------------------------------------------------------------// This source code is distributed under the terms of license.txt-// in the root directory of this source distribution.-// ---------------------------------------------------------------/**- * @file- * sharedmem.h- *- * @brief Shared memory declaration struct for templatized types.- *- * Because dynamically sized shared memory arrays are declared "extern" in CUDA,- * we can't templatize their types directly. To get around this, we declare a- * simple wrapper struct that will declare the extern array with a different- * name depending on the type. This avoids linker errors about multiple- * definitions.- *- * To use dynamically allocated shared memory in a templatized __global__ or- * __device__ function, just replace code like this:- *- * <pre>- * template<class T>- * __global__ void- * foo( T* d_out, T* d_in)- * {- * // Shared mem size is determined by the host app at run time- * extern __shared__ T sdata[];- * ...- * doStuff(sdata);- * ...- * }- * </pre>- *- * With this- * <pre>- * template<class T>- * __global__ void- * foo( T* d_out, T* d_in)- * {- * // Shared mem size is determined by the host app at run time- * SharedMemory<T> smem;- * T* sdata = smem.getPointer();- * ...- * doStuff(sdata);- * ...- * }- * </pre>- */--#ifndef __SHARED_MEM_H__-#define __SHARED_MEM_H__---/** @brief Wrapper class for templatized dynamic shared memory arrays.- *- * This struct uses template specialization on the type \a T to declare- * a differently named dynamic shared memory array for each type- * (\code extern __shared__ T s_type[] \endcode).- *- * Currently there are specializations for the following types:- * \c int, \c uint, \c char, \c uchar, \c short, \c ushort, \c long,- * \c unsigned long, \c bool, \c float, and \c double. One can also specialize it- * for user defined types.- */-template <typename T>-struct SharedMemory-{- /** Return a pointer to the runtime-sized shared memory array. **/- __device__ T* getPointer()- {- extern __device__ void Error_UnsupportedType(); // Ensure that we won't compile any un-specialized types- Error_UnsupportedType();- return (T*)0;- }- // TODO: Use operator overloading to make this class look like a regular array-};--// Following are the specializations for the following types.-// int, uint, char, uchar, short, ushort, long, ulong, bool, float, and double-// One could also specialize it for user-defined types.--#define SPEC_SHAREDMEM(T, name) \- template <> struct SharedMemory <T> \- { \- __device__ T* getPointer() { extern __shared__ T s_##name[]; return s_##name; } \- }--SPEC_SHAREDMEM(int, int);-SPEC_SHAREDMEM(char, char);-SPEC_SHAREDMEM(long, long);-SPEC_SHAREDMEM(short, short);-SPEC_SHAREDMEM(bool, bool);-SPEC_SHAREDMEM(float, float);-SPEC_SHAREDMEM(double, double);--SPEC_SHAREDMEM(unsigned int, uint);-SPEC_SHAREDMEM(unsigned char, uchar);-SPEC_SHAREDMEM(unsigned long, ulong);-SPEC_SHAREDMEM(unsigned short, ushort);--SPEC_SHAREDMEM(uchar4, uchar4);--#undef SPEC_SHAREDMEM-#endif // __SHARED_MEM_H__--// Leave this at the end of the file-// Local Variables:-// mode:c++-// c-file-style: "NVIDIA"-// End:
− examples/common/include/cudpp/type_vector.h
@@ -1,51 +0,0 @@-// --------------------------------------------------------------// cuDPP -- CUDA Data Parallel Primitives library-// --------------------------------------------------------------// $Revision: 5632 $-// $Date: 2009-07-01 14:36:01 +1000 (Wed, 01 Jul 2009) $-// --------------------------------------------------------------// This source code is distributed under the terms of license.txt in-// the root directory of this source distribution.-// ---------------------------------------------------------------#ifndef __TYPE_VECTOR_H__-#define __TYPE_VECTOR_H__--/** @brief Utility template struct for generating small vector types from scalar types- *- * Given a base scalar type (\c int, \c float, etc.) and a vector length (1 through 4) as- * template parameters, this struct defines a vector type (\c float3, \c int4, etc.) of the- * specified length and base type. For example:- * \code- * template <class T>- * __device__ void myKernel(T *data)- * {- * typeToVector<T,4>::Result myVec4; // create a vec4 of type T- * myVec4 = (typeToVector<T,4>::Result*)data[0]; // load first element of data as a vec4- * }- * \endcode- *- * This functionality is implemented using template specialization. Currently specializations- * for int, float, and unsigned int vectors of lengths 2-4 are defined. Note that this results- * in types being generated at compile time -- there is no runtime cost. typeToVector is used by- * the optimized scan \c __device__ functions in scan_cta.cu.- */-template <typename T, int N>-struct typeToVector-{- typedef T Result;-};--#define TYPE_VECTOR(type, name) \- template <> struct typeToVector<type, 2> { typedef name##2 Result; }; \- template <> struct typeToVector<type, 3> { typedef name##3 Result; }; \- template <> struct typeToVector<type, 4> { typedef name##4 Result; }--TYPE_VECTOR(int, int);-TYPE_VECTOR(float, float);-TYPE_VECTOR(unsigned int, uint);---#undef TYPE_VECTOR-#endif-
− examples/common/include/operator.h
@@ -1,114 +0,0 @@-/* ------------------------------------------------------------------------------ *- * Module : Operator- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- * A template class for unary/binary kernel operations- *- * ---------------------------------------------------------------------------*/---#ifndef __OPERATOR_H__-#define __OPERATOR_H__--#include <float.h>-#include <limits.h>---/*- * Template class for an operation that can be mapped over an array.- */-template <typename Ta, typename Tb=Ta>-class Functor-{-public:- /*- * Apply the operation to the given operand.- */- static __device__ Tb apply(const Ta &x);-};--template <typename Ta, typename Tb>-class fromIntegral : Functor<Ta, Tb>-{-public:- static __device__ Tb apply(const Ta &x) { return (Tb) x; }-};---/*- * Template class for binary operators. Certain algorithms may require the- * operator to be associative (that is, Ta == Tb), such as parallel scan and- * reduction.- *- * As this is template code, it should compile down to something efficient...- */-template <typename Ta, typename Tb=Ta, typename Tc=Ta>-class BinaryOp-{-public:- /*- * Apply the operation to the given operands.- */- static __device__ Tc apply(const Ta &a, const Tb &b);-- /*- * Return an identity element for the type Tc.- *- * This may have special meaning for a given implementation, for example a- * `max' operation over integers may want to return INT_MIN.- */- static __device__ Tc identity();-};--/*- * Return the minimum or maximum value of a type- */-template <typename T> inline __device__ T getMin();-template <typename T> inline __device__ T getMax();--#define SPEC_MINMAX(type,vmin,vmax) \- template <> inline __device__ type getMin() { return vmin; }; \- template <> inline __device__ type getMax() { return vmax; } \--SPEC_MINMAX(float, -FLT_MAX, FLT_MAX);-SPEC_MINMAX(int, INT_MIN, INT_MAX);-SPEC_MINMAX(char, CHAR_MIN, CHAR_MAX);-SPEC_MINMAX(unsigned int, 0, UINT_MAX);-SPEC_MINMAX(unsigned char, 0, UCHAR_MAX);---/*- * Basic binary arithmetic operations. We take advantage of automatic type- * promotion to keep the parameters general.- */-#define BASIC_OP(name,expr,id) \- template <typename Ta, typename Tb=Ta, typename Tc=Ta> \- class name : BinaryOp<Ta, Tb, Tc> \- { \- public: \- static __device__ Tc apply(const Ta &a, const Tb &b) { return expr; } \- static __device__ Tc identity() { return id; } \- }--#define LOGICAL_OP(name,expr,id) \- template <typename Ta, typename Tb=Ta> \- class name : BinaryOp<Ta, Tb, bool> \- { \- public: \- static __device__ bool apply(const Ta &a, const Tb &b) { return expr; }\- static __device__ bool identity() { return id; } \- }--BASIC_OP(Plus, a + b, 0);-BASIC_OP(Times, a * b, 1);-BASIC_OP(Min, min(a,b), getMax<Ta>());-BASIC_OP(Max, max(a,b), getMin<Ta>());--LOGICAL_OP(Eq, a == b, false);--#undef SPEC_MINMAX-#undef BASIC_OP-#endif-
− examples/common/include/utils.h
@@ -1,146 +0,0 @@-/* ------------------------------------------------------------------------------ *- * Module : Utils- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- * ---------------------------------------------------------------------------*/---#ifndef __UTILS_H__-#define __UTILS_H__--#include <math.h>-#include <stdio.h>---/*- * Core assert function. Don't let this escape...- */-#if defined(__CUDACC__) || !defined(__DEVICE_EMULATION__)-#define __assert(e, file, line) ((void)0)-#else-#define __assert(e, file, line) \- ((void) fprintf (stderr, "%s:%u: failed assertion `%s'\n", file, line, e), abort())-#endif--/*- * Test the given expression, and abort the program if it evaluates to false.- * Only available in debug mode.- */-#ifndef _DEBUG-#define assert(e) ((void)0)-#else-#define assert(e) \- ((void) ((e) ? (void(0)) : __assert (#e, __FILE__, __LINE__)))-#endif---/*- * Macro to insert __syncthreads() in device emulation mode- */-#ifdef __DEVICE_EMULATION__-#define __EMUSYNC __syncthreads()-#else-#define __EMUSYNC-#endif---/*- * Check the return status of CUDA API calls, and abort with an appropriate- * error string on failure.- */-#define CUDA_SAFE_CALL_NO_SYNC(call) \- do { \- cudaError err = call; \- if(cudaSuccess != err) { \- const char *str = cudaGetErrorString(err); \- __assert(str, __FILE__, __LINE__); \- } \- } while (0)--#define CUDA_SAFE_CALL(call) \- do { \- CUDA_SAFE_CALL_NO_SYNC(call); \- CUDA_SAFE_CALL_NO_SYNC(cudaThreadSynchronize()); \- } while (0)---#ifdef __cplusplus-extern "C" {-#endif--/*- * Determine if the input is a power of two- */-inline bool-isPow2(unsigned int x)-{- return ((x&(x-1)) == 0);-}---/*- * Compute the next highest power of two- */-inline unsigned int-ceilPow2(unsigned int x)-{-#if 0- --x;- x |= x >> 1;- x |= x >> 2;- x |= x >> 4;- x |= x >> 8;- x |= x >> 16;- return ++x;-#endif-- return (isPow2(x)) ? x : 1u << (int) ceil(log2((double)x));-}---/*- * Compute the next lowest power of two- */-inline unsigned int-floorPow2(unsigned int x)-{-#if 0- float nf = (float) n;- return 1 << (((*(int*)&nf) >> 23) - 127);-#endif-- int exp;- frexp(x, &exp);- return 1 << (exp - 1);-}---/*- * computes next highest multiple of f from x- */-inline unsigned int-multiple(unsigned int x, unsigned int f)-{- return ((x + (f-1)) / f);-}---/*- * MS Excel-style CEIL() function. Rounds x up to nearest multiple of f- */-inline unsigned int-ceiling(unsigned int x, unsigned int f)-{- return multiple(x, f) * f;-}---#undef __asert--#ifdef __cplusplus-}-#endif-#endif-
− examples/common/src/C2HS.hs
@@ -1,224 +0,0 @@--- C->Haskell Compiler: Marshalling library------ Copyright (c) [1999...2005] Manuel M T Chakravarty------ Redistribution and use in source and binary forms, with or without--- modification, are permitted provided that the following conditions are met:--- --- 1. Redistributions of source code must retain the above copyright notice,--- this list of conditions and the following disclaimer. --- 2. Redistributions in binary form must reproduce the above copyright--- notice, this list of conditions and the following disclaimer in the--- documentation and/or other materials provided with the distribution. --- 3. The name of the author may not be used to endorse or promote products--- derived from this software without specific prior written permission. ------ THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR--- IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES--- OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN--- NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, --- SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED--- TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR--- PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF--- LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING--- NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS--- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.------- Description --------------------------------------------------------------------- Language: Haskell 98------ This module provides the marshaling routines for Haskell files produced by --- C->Haskell for binding to C library interfaces. It exports all of the--- low-level FFI (language-independent plus the C-specific parts) together--- with the C->HS-specific higher-level marshalling routines.-----module C2HS (-- -- * Re-export the language-independent component of the FFI - module Foreign,-- -- * Re-export the C language component of the FFI- module Foreign.C,-- -- * Composite marshalling functions- withCStringLenIntConv, peekCStringLenIntConv, withIntConv, withFloatConv,- peekIntConv, peekFloatConv, withBool, peekBool, withEnum, peekEnum,-- -- * Conditional results using 'Maybe'- nothingIf, nothingIfNull,-- -- * Bit masks- combineBitMasks, containsBitMask, extractBitMasks,-- -- * Conversion between C and Haskell types- cIntConv, cFloatConv, cToBool, cFromBool, cToEnum, cFromEnum-) where ---import Foreign- hiding (Word)- -- Should also hide the Foreign.Marshal.Pool exports in- -- compilers that export them-import Foreign.C--import Monad (liftM)----- Composite marshalling functions--- ----------------------------------- Strings with explicit length----withCStringLenIntConv :: String -> (CStringLen -> IO a) -> IO a-withCStringLenIntConv s f = withCStringLen s $ \(p, n) -> f (p, cIntConv n)--peekCStringLenIntConv :: CStringLen -> IO String-peekCStringLenIntConv (s,n) = peekCStringLen (s, cIntConv n)---- Marshalling of numerals-----withIntConv :: (Storable b, Integral a, Integral b) - => a -> (Ptr b -> IO c) -> IO c-withIntConv = with . cIntConv--withFloatConv :: (Storable b, RealFloat a, RealFloat b) - => a -> (Ptr b -> IO c) -> IO c-withFloatConv = with . cFloatConv--peekIntConv :: (Storable a, Integral a, Integral b) - => Ptr a -> IO b-peekIntConv = liftM cIntConv . peek--peekFloatConv :: (Storable a, RealFloat a, RealFloat b) - => Ptr a -> IO b-peekFloatConv = liftM cFloatConv . peek---- Passing Booleans by reference-----withBool :: (Integral a, Storable a) => Bool -> (Ptr a -> IO b) -> IO b-withBool = with . fromBool--peekBool :: (Integral a, Storable a) => Ptr a -> IO Bool-peekBool = liftM toBool . peek----- Passing enums by reference-----withEnum :: (Enum a, Integral b, Storable b) => a -> (Ptr b -> IO c) -> IO c-withEnum = with . cFromEnum--peekEnum :: (Enum a, Integral b, Storable b) => Ptr b -> IO a-peekEnum = liftM cToEnum . peek---{---- Storing of 'Maybe' values--- ---------------------------instance Storable a => Storable (Maybe a) where- sizeOf _ = sizeOf (undefined :: Ptr ())- alignment _ = alignment (undefined :: Ptr ())-- peek p = do- ptr <- peek (castPtr p)- if ptr == nullPtr- then return Nothing- else liftM Just $ peek ptr-- poke p v = do- ptr <- case v of- Nothing -> return nullPtr- Just v' -> new v'- poke (castPtr p) ptr--}---- Conditional results using 'Maybe'--- ------------------------------------- Wrap the result into a 'Maybe' type.------ * the predicate determines when the result is considered to be non-existing,--- ie, it is represented by `Nothing'------ * the second argument allows to map a result wrapped into `Just' to some--- other domain----nothingIf :: (a -> Bool) -> (a -> b) -> a -> Maybe b-nothingIf p f x = if p x then Nothing else Just $ f x---- |Instance for special casing null pointers.----nothingIfNull :: (Ptr a -> b) -> Ptr a -> Maybe b-nothingIfNull = nothingIf (== nullPtr)----- Support for bit masks--- ------------------------- Given a list of enumeration values that represent bit masks, combine these--- masks using bitwise disjunction.----combineBitMasks :: (Enum a, Bits b) => [a] -> b-combineBitMasks = foldl (.|.) 0 . map (fromIntegral . fromEnum)---- Tests whether the given bit mask is contained in the given bit pattern--- (i.e., all bits set in the mask are also set in the pattern).----containsBitMask :: (Bits a, Enum b) => a -> b -> Bool-bits `containsBitMask` bm = let bm' = fromIntegral . fromEnum $ bm- in- bm' .&. bits == bm'---- |Given a bit pattern, yield all bit masks that it contains.------ * This does *not* attempt to compute a minimal set of bit masks that when--- combined yield the bit pattern, instead all contained bit masks are--- produced.----extractBitMasks :: (Bits a, Enum b, Bounded b) => a -> [b]-extractBitMasks bits = - [bm | bm <- [minBound..maxBound], bits `containsBitMask` bm]----- Conversion routines--- ----------------------- |Integral conversion----cIntConv :: (Integral a, Integral b) => a -> b-cIntConv = fromIntegral---- |Floating conversion----cFloatConv :: (RealFloat a, RealFloat b) => a -> b-cFloatConv = realToFrac--- As this conversion by default goes via `Rational', it can be very slow...-{-# RULES - "cFloatConv/Float->Float" forall (x::Float). cFloatConv x = x;- "cFloatConv/Double->Double" forall (x::Double). cFloatConv x = x- #-}---- |Obtain C value from Haskell 'Bool'.----cFromBool :: Num a => Bool -> a-cFromBool = fromBool---- |Obtain Haskell 'Bool' from C value.----cToBool :: Num a => a -> Bool-cToBool = toBool---- |Convert a C enumeration to Haskell.----cToEnum :: (Integral i, Enum e) => i -> e-cToEnum = toEnum . cIntConv---- |Convert a Haskell enumeration to C.----cFromEnum :: (Enum e, Integral i) => e -> i-cFromEnum = cIntConv . fromEnum
− examples/common/src/PrettyPrint.hs
@@ -1,61 +0,0 @@------------------------------------------------------------------------------------ |--- Module : PrettyPrint--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Simple layout and pretty printing--------------------------------------------------------------------------------------module PrettyPrint where--import Data.List-import Text.PrettyPrint-import System.IO-------------------------------------------------------------------------------------- Printing-----------------------------------------------------------------------------------printDoc :: Doc -> IO ()-printDoc = putStrLn . flip (++) "\n" . render------- stolen from $fptools/ghc/compiler/utils/Pretty.lhs------ This code has a BSD-style license----printDocFull :: Mode -> Handle -> Doc -> IO ()-printDocFull m hdl doc = do- fullRender m cols 1.5 put done doc- hFlush hdl- where- put (Chr c) next = hPutChar hdl c >> next- put (Str s) next = hPutStr hdl s >> next- put (PStr s) next = hPutStr hdl s >> next-- done = hPutChar hdl '\n'- cols = 80-------------------------------------------------------------------------------------- Layout---------------------------------------------------------------------------------------- Display the given grid of renderable data, given as either a list of rows or--- columns, using the minimum size required for each column. An additional--- parameter specifies extra space to be inserted between each column.----ppAsRows :: Int -> [[Doc]] -> Doc-ppAsRows q = ppAsColumns q . transpose--ppAsColumns :: Int -> [[Doc]] -> Doc-ppAsColumns q = vcat . map hsep . transpose . map (\col -> pad (width col) col)- where- len = length . render- width = maximum . map len- pad w = map (\x -> x <> (hcat $ replicate (w - (len x) + q) space))-
− examples/common/src/RandomVector.hs
@@ -1,101 +0,0 @@-{-# LANGUAGE FlexibleContexts, ParallelListComp #-}--------------------------------------------------------------------------------------- Module : RandomVector--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Storable multi-dimensional arrays and lists of random numbers--------------------------------------------------------------------------------------module RandomVector- (- Storable,- module RandomVector,- module Data.Array.Storable- )- where--import Foreign (Ptr, Storable)-import Control.Monad (join)-import Control.Exception (evaluate)-import Data.Array.Storable-import System.Random-------------------------------------------------------------------------------------- Arrays-----------------------------------------------------------------------------------type Vector e = StorableArray Int e-type Matrix e = StorableArray (Int,Int) e--withVector :: Vector e -> (Ptr e -> IO a) -> IO a-withVector = withStorableArray--withMatrix :: Matrix e -> (Ptr e -> IO a) -> IO a-withMatrix = withStorableArray-------- To ensure the array is fully evaluated, force one element----evaluateArr :: (Ix i, MArray StorableArray e IO)- => i -> StorableArray i e -> IO (StorableArray i e)-evaluateArr l arr = (join $ evaluate (arr `readArray` l)) >> return arr-------- Generate a new random array----randomArrR :: (Ix i, Num e, Storable e, Random e, MArray StorableArray e IO)- => (i,i) -> (e,e) -> IO (StorableArray i e)-randomArrR (l,u) bnds = do- rg <- newStdGen- let -- The standard random number generator is too slow to generate really- -- large vectors. Instead, we generate a short vector and repeat that.- k = 1000- rands = take k (randomRs bnds rg)-- newListArray (l,u) [rands !! (index (l,u) i`mod`k) | i <- range (l,u)] >>= evaluateArr l---randomArr :: (Ix i, Num e, Storable e, Random e, MArray StorableArray e IO)- => (i,i) -> IO (StorableArray i e)-randomArr (l,u) = randomArrR (l,u) (-1,1)-------- Verify similarity of two arrays----verify :: (Ix i, Ord e, Fractional e, Storable e)- => StorableArray i e -> StorableArray i e -> IO (Bool)-verify ref arr = do- as <- getElems arr- bs <- getElems ref- return (verifyList as bs)-------------------------------------------------------------------------------------- Lists-----------------------------------------------------------------------------------randomListR :: (Num e, Random e, Storable e) => Int -> (e,e) -> IO [e]-randomListR len bnds = do- rg <- newStdGen- let -- The standard random number generator is too slow to generate really- -- large vectors. Instead, we generate a short vector and repeat that.- k = 1000- rands = take k (randomRs bnds rg)-- evaluate [rands !! (i`mod`k) | i <- [0..len-1]]--randomList :: (Num e, Random e, Storable e) => Int -> IO [e]-randomList len = randomListR len (-1,1)---verifyList :: (Ord e, Fractional e) => [e] -> [e] -> Bool-verifyList xs ys = all (< epsilon) [abs ((x-y)/(x+y+epsilon)) | x <- xs | y <- ys]- where epsilon = 0.0005-
− examples/common/src/Time.hs
@@ -1,52 +0,0 @@--------------------------------------------------------------------------------------- Module : Time--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Simple timing benchmarks--------------------------------------------------------------------------------------module Time where--import System.CPUTime-import Control.Monad----- Timing----data Time = Time { cpu_time :: Integer }--type TimeUnit = Integer -> Integer--picosecond, millisecond, second :: TimeUnit-picosecond n = n-millisecond n = n `div` 1000000000-second n = n `div` 1000000000000--getTime :: IO Time-getTime = Time `fmap` getCPUTime--timeIn :: TimeUnit -> Time -> Integer-timeIn u (Time t) = u t--elapsedTime :: Time -> Time -> Time-elapsedTime (Time t1) (Time t2) = Time (t2 - t1)----- Simple benchmarking----{-# NOINLINE benchmark #-}-benchmark- :: Int -- Number of times to repeat test- -> IO a -- Test to run- -> IO b -- Finaliser to before measuring elapsed time- -> IO (Time,a)-benchmark n testee finaliser = do- t1 <- getTime- (r:_) <- replicateM n testee- _ <- finaliser- t2 <- getTime- return (elapsedTime t1 t2, r)-
− examples/common/src/cudpp/LICENSE
@@ -1,25 +0,0 @@-Copyright (c) 2007-2009 The Regents of the University of California, Davis -campus ("The Regents") and NVIDIA Corporation ("NVIDIA"). All rights reserved. - -Redistribution and use in source and binary forms, with or without modification, -are permitted provided that the following conditions are met: - - * Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. - * Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. - * Neither the name of the The Regents, nor NVIDIA, nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission. - -THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND -ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED -WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. -IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, -INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, -BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, -DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF -LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE -OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
− examples/common/src/cudpp/scan_cta.cu
@@ -1,617 +0,0 @@-// --------------------------------------------------------------// cuDPP -- CUDA Data Parallel Primitives library-// --------------------------------------------------------------// $Revision: 5633 $-// $Date: 2009-07-01 15:02:51 +1000 (Wed, 01 Jul 2009) $-// --------------------------------------------------------------// This source code is distributed under the terms of license.txt-// in the root directory of this source distribution.-// ---------------------------------------------------------------/**- * @file- * scan_cta.cu- *- * @brief CUDPP CTA-level scan routines- */--/** \defgroup cudpp_cta CUDPP CTA-Level API- * The CUDPP CTA-Level API contains functions that run on the GPU- * device. These are CUDA \c __device__ functions that are called- * from within other CUDA device functions (typically- * \link cudpp_kernel CUDPP Kernel-Level API\endlink functions).- * They are called CTA-level functions because they typically process- * s_data "owned" by each CTA within shared memory, and are agnostic of- * any other CTAs that may be running (or how many CTAs are running),- * other than to compute appropriate global memory addresses.- * @{- */--/** @name Scan Functions-* @{-*/--#include "cudpp/cudpp_globals.h"-#include "cudpp/type_vector.h"-// #include <cudpp_util.h>-#include <math.h>-// #include <cudpp.h>--/**- * @brief Macro to insert necessary __syncthreads() in device emulation mode- */-#ifdef __DEVICE_EMULATION__-#define __EMUSYNC __syncthreads()-#else-#define __EMUSYNC-#endif--/**- * @brief Template class containing compile-time parameters to the scan functions- *- * ScanTraits is passed as a template parameter to all scan functions. By- * using these compile-time functions we can enable generic code while- * maintaining the highest performance. This is crucial for the performance- * of low-level workhorse algorithms like scan.- *- * @param T The datatype of the scan- * @param oper The ::CUDPPOperator to use for the scan (add, max, etc.)- * @param multiRow True if this is a multi-row scan- * @param unroll True if scan inner loops should be unrolled- * @param sums True if each block should write it's sum to the d_blockSums array (false for single-block scans)- * @param backward True if this is a backward scan- * @param fullBlock True if all blocks in this scan are full (CTA_SIZE * SCAN_ELEMENTS_PER_THREAD elements)- * @param exclusive True for exclusive scans, false for inclusive scans- */-template <class T, class oper, bool backward, bool exclusive,- bool multiRow, bool sums, bool fullBlock>-class ScanTraits-{-public:-- //! Returns true if this is a backward scan- static __device__ bool isBackward() { return backward; };- //! Returns true if this is an exclusive scan- static __device__ bool isExclusive() { return exclusive; };- //! Returns true if this a multi-row scan.- static __device__ bool isMultiRow() { return multiRow; };- //! Returns true if this scan writes the sum of each block to the d_blockSums array (multi-block scans)- static __device__ bool writeSums() { return sums; };- //! Returns true if this is a full scan -- all blocks process CTA_SIZE * SCAN_ELEMENTS_PER_THREAD elements- static __device__ bool isFullBlock() { return fullBlock; };--- //! The operator function used for the scan- static __device__ T op(const T &a, const T &b) { return oper::apply(a, b); }-- //! The identity value used by the scan- static __device__ T identity() { return oper::identity(); }-};--//! This is used to insert syncthreads to avoid perf loss caused by 128-bit-//! load overlap that happens on G80. This gives about a 15% boost on scans on-//! G80.-//! @todo Parameterize this in case this perf detail changes on future GPUs.-#define DISALLOW_LOADSTORE_OVERLAP 1--/**-* @brief Handles loading input s_data from global memory to shared memory-* (vec4 version)-*-* Load a chunk of 8*blockDim.x elements from global memory into a-* shared memory array. Each thread loads two T4 elements (where-* T4 is, e.g. int4 or float4), computes the scan of those two vec4s in-* thread local arrays (in registers), and writes the two total sums of the-* vec4s into shared memory, where they will be cooperatively scanned with-* the other partial sums by all threads in the CTA.-*-* @param[out] s_out The output (shared) memory array-* @param[out] threadScan0 Intermediate per-thread partial sums array 1-* @param[out] threadScan1 Intermediate per-thread partial sums array 2-* @param[in] d_in The input (device) memory array-* @param[in] numElements The number of elements in the array being scanned-* @param[in] iDataOffset the offset of the input array in global memory for this-* thread block-* @param[out] ai The shared memory address for the thread's first element-* (returned for reuse)-* @param[out] bi The shared memory address for the thread's second element-* (returned for reuse)-* @param[out] aiDev The device memory address for this thread's first element-* (returned for reuse)-* @param[out] biDev The device memory address for this thread's second element-* (returned for reuse)-*/-template <class T, class traits>-__device__ void loadSharedChunkFromMem4(T *s_out,- T threadScan0[4],- T threadScan1[4],- const T *d_in,- int numElements,- int iDataOffset,- int &ai,- int &bi,- int &aiDev,- int &biDev)-{- int thid = threadIdx.x;- aiDev = iDataOffset + thid;- biDev = aiDev + blockDim.x;-- // convert to 4-vector- typename typeToVector<T,4>::Result tempData;- typename typeToVector<T,4>::Result* inData = (typename typeToVector<T,4>::Result*)d_in;-- ai = thid;- bi = thid + blockDim.x;-- // read into tempData;- if (traits::isBackward())- {- int i = aiDev * 4;- if (traits::isFullBlock() || i + 3 < numElements)- {- tempData = inData[aiDev];- threadScan0[3] = tempData.w;- threadScan0[2] = traits::op(tempData.z, threadScan0[3]);- threadScan0[1] = traits::op(tempData.y, threadScan0[2]);- threadScan0[0] = s_out[ai]- = traits::op(tempData.x, threadScan0[1]);- }- else- {- threadScan0[3] = traits::identity();- threadScan0[2] = traits::op(((i+2) < numElements) ? d_in[i+2] : traits::identity(), threadScan0[3]);- threadScan0[1] = traits::op(((i+1) < numElements) ? d_in[i+1] : traits::identity(), threadScan0[2]);- threadScan0[0] = s_out[ai]- = traits::op((i < numElements) ? d_in[i] : traits::identity(), threadScan0[1]);- }--#ifdef DISALLOW_LOADSTORE_OVERLAP- __syncthreads();-#endif-- i = biDev * 4;- if (traits::isFullBlock() || i + 3 < numElements)- {- tempData = inData[biDev];- threadScan1[3] = tempData.w;- threadScan1[2] = traits::op(tempData.z, threadScan1[3]);- threadScan1[1] = traits::op(tempData.y, threadScan1[2]);- threadScan1[0] = s_out[bi]- = traits::op(tempData.x, threadScan1[1]);- }- else- {- threadScan1[3] = traits::identity();- threadScan1[2] = traits::op(((i+2) < numElements) ? d_in[i+2] : traits::identity(), threadScan1[3]);- threadScan1[1] = traits::op(((i+1) < numElements) ? d_in[i+1] : traits::identity(), threadScan1[2]);- threadScan1[0] = s_out[bi]- = traits::op((i < numElements) ? d_in[i] : traits::identity(), threadScan1[1]);- }- __syncthreads();-- // reverse s_data in shared memory- if (ai < CTA_SIZE)- {- unsigned int leftIdx = ai;- unsigned int rightIdx = (2 * CTA_SIZE - 1) - ai;-- if (leftIdx < rightIdx)- {- T tmp = s_out[leftIdx];- s_out[leftIdx] = s_out[rightIdx];- s_out[rightIdx] = tmp;- }- }- __syncthreads();- }- else- {- int i = aiDev * 4;- if (traits::isFullBlock() || i + 3 < numElements)- {- tempData = inData[aiDev];- threadScan0[0] = tempData.x;- threadScan0[1] = traits::op(tempData.y, threadScan0[0]);- threadScan0[2] = traits::op(tempData.z, threadScan0[1]);- threadScan0[3] = s_out[ai]- = traits::op(tempData.w, threadScan0[2]);- }- else- {- threadScan0[0] = (i < numElements) ? d_in[i] : traits::identity();- threadScan0[1] = traits::op(((i+1) < numElements) ? d_in[i+1] : traits::identity(), threadScan0[0]);- threadScan0[2] = traits::op(((i+2) < numElements) ? d_in[i+2] : traits::identity(), threadScan0[1]);- threadScan0[3] = s_out[ai]- = traits::op(((i+3) < numElements) ? d_in[i+3] : traits::identity(), threadScan0[2]);- }---#ifdef DISALLOW_LOADSTORE_OVERLAP- __syncthreads();-#endif-- i = biDev * 4;- if (traits::isFullBlock() || i + 3 < numElements)- {- tempData = inData[biDev];- threadScan1[0] = tempData.x;- threadScan1[1] = traits::op(tempData.y, threadScan1[0]);- threadScan1[2] = traits::op(tempData.z, threadScan1[1]);- threadScan1[3] = s_out[bi]- = traits::op(tempData.w, threadScan1[2]);- }- else- {- threadScan1[0] = (i < numElements) ? d_in[i] : traits::identity();- threadScan1[1] = traits::op(((i+1) < numElements) ? d_in[i+1] : traits::identity(), threadScan1[0]);- threadScan1[2] = traits::op(((i+2) < numElements) ? d_in[i+2] : traits::identity(), threadScan1[1]);- threadScan1[3] = s_out[bi]- = traits::op(((i+3) < numElements) ? d_in[i+3] : traits::identity(), threadScan1[2]);- }- __syncthreads();- }-}---/**-* @brief Handles storing result s_data from shared memory to global memory-* (vec4 version)-*-* Store a chunk of SCAN_ELTS_PER_THREAD*blockDim.x elements from shared memory-* into a device memory array. Each thread stores reads two elements from shared-* memory, adds them to the intermediate sums computed in-* loadSharedChunkFromMem4(), and writes two T4 elements (where-* T4 is, e.g. int4 or float4) to global memory.-*-* @param[out] d_out The output (device) memory array-* @param[in] threadScan0 Intermediate per-thread partial sums array 1-* (contents computed in loadSharedChunkFromMem4())-* @param[in] threadScan1 Intermediate per-thread partial sums array 2-* (contents computed in loadSharedChunkFromMem4())-* @param[in] s_in The input (shared) memory array-* @param[in] numElements The number of elements in the array being scanned-* @param[in] oDataOffset the offset of the output array in global memory-* for this thread block-* @param[in] ai The shared memory address for the thread's first element-* (computed in loadSharedChunkFromMem4())-* @param[in] bi The shared memory address for the thread's second element-* (computed in loadSharedChunkFromMem4())-* @param[in] aiDev The device memory address for this thread's first element-* (computed in loadSharedChunkFromMem4())-* @param[in] biDev The device memory address for this thread's second element-* (computed in loadSharedChunkFromMem4())-*/-template <class T, class traits>-__device__ void storeSharedChunkToMem4(T *d_out,- T threadScan0[4],- T threadScan1[4],- T *s_in,- int numElements,- int oDataOffset,- int ai,- int bi,- int aiDev,- int biDev)-{- // Convert to 4-vector- typename typeToVector<T,4>::Result tempData;- typename typeToVector<T,4>::Result* outData = (typename typeToVector<T,4>::Result*)d_out;-- // write results to global memory- if (traits::isBackward())- {- if (ai < CTA_SIZE)- {-- unsigned int leftIdx = ai;- unsigned int rightIdx = (2 * CTA_SIZE - 1) - ai;-- if (leftIdx < rightIdx)- {- T tmp = s_in[leftIdx];- s_in[leftIdx] = s_in[rightIdx];- s_in[rightIdx] = tmp;- }- }- __syncthreads();-- T temp = s_in[ai];-- if (traits::isExclusive())- {- tempData.w = temp;- tempData.z = traits::op(temp, threadScan0[3]);- tempData.y = traits::op(temp, threadScan0[2]);- tempData.x = traits::op(temp, threadScan0[1]);- }- else- {- tempData.w = traits::op(temp, threadScan0[3]);- tempData.z = traits::op(temp, threadScan0[2]);- tempData.y = traits::op(temp, threadScan0[1]);- tempData.x = traits::op(temp, threadScan0[0]);- }-- int i = aiDev * 4;- if (traits::isFullBlock() || i + 3 < numElements)- {- outData[aiDev] = tempData;- }- else- {- if (i < numElements) { d_out[i] = tempData.x;- if (i+1 < numElements) { d_out[i+1] = tempData.y;- if (i+2 < numElements) { d_out[i+2] = tempData.z; }}}- }--#ifdef DISALLOW_LOADSTORE_OVERLAP- __syncthreads();-#endif-- temp = s_in[bi];-- if (traits::isExclusive())- {- tempData.w = temp;- tempData.z = traits::op(temp, threadScan1[3]);- tempData.y = traits::op(temp, threadScan1[2]);- tempData.x = traits::op(temp, threadScan1[1]);- }- else- {- tempData.w = traits::op(temp, threadScan1[3]);- tempData.z = traits::op(temp, threadScan1[2]);- tempData.y = traits::op(temp, threadScan1[1]);- tempData.x = traits::op(temp, threadScan1[0]);- }-- i = biDev * 4;- if (traits::isFullBlock() || i + 3 < numElements)- {- outData[biDev] = tempData;- }- else- {- if (i < numElements) { d_out[i] = tempData.x;- if (i+1 < numElements) { d_out[i+1] = tempData.y;- if (i+2 < numElements) { d_out[i+2] = tempData.z; }}}- }- }- else- {- T temp;- temp = s_in[ai];-- if (traits::isExclusive())- {- tempData.x = temp;- tempData.y = traits::op(temp, threadScan0[0]);- tempData.z = traits::op(temp, threadScan0[1]);- tempData.w = traits::op(temp, threadScan0[2]);- }- else- {- tempData.x = traits::op(temp, threadScan0[0]);- tempData.y = traits::op(temp, threadScan0[1]);- tempData.z = traits::op(temp, threadScan0[2]);- tempData.w = traits::op(temp, threadScan0[3]);- }-- int i = aiDev * 4;- if (traits::isFullBlock() || i + 3 < numElements)- {- outData[aiDev] = tempData;- }- else- {- // we can't use vec4 because the original array isn't a multiple of- // 4 elements- if ( i < numElements) { d_out[i] = tempData.x;- if ((i+1) < numElements) { d_out[i+1] = tempData.y;- if ((i+2) < numElements) { d_out[i+2] = tempData.z; } } }- }--#ifdef DISALLOW_LOADSTORE_OVERLAP- __syncthreads();-#endif-- temp = s_in[bi];-- if (traits::isExclusive())- {- tempData.x = temp;- tempData.y = traits::op(temp, threadScan1[0]);- tempData.z = traits::op(temp, threadScan1[1]);- tempData.w = traits::op(temp, threadScan1[2]);- }- else- {- tempData.x = traits::op(temp, threadScan1[0]);- tempData.y = traits::op(temp, threadScan1[1]);- tempData.z = traits::op(temp, threadScan1[2]);- tempData.w = traits::op(temp, threadScan1[3]);- }-- i = biDev * 4;- if (traits::isFullBlock() || i + 3 < numElements)- {- outData[biDev] = tempData;- }- else- {- // we can't use vec4 because the original array isn't a multiple of- // 4 elements- if ( i < numElements) { d_out[i] = tempData.x;- if ((i+1) < numElements) { d_out[i+1] = tempData.y;- if ((i+2) < numElements) { d_out[i+2] = tempData.z; } } }- }- }-}--/** @brief Scan all warps of a CTA without synchronization- *- * The warp-scan algorithm breaks a block of data into warp-sized chunks, and- * scans the chunks independently with a warp of threads each. Because warps- * execute instructions in SIMD fashion, there is no need to synchronize in- * order to share data within a warp (only across warps). Also, in SIMD the- * most efficient algorithm is a step-efficient algorithm. Therefore, within- * each warp we use a Hillis-and-Steele-style scan that takes log2(N) steps- * to scan the warp [Daniel Hillis and Guy Steele 1986], rather than the- * work-efficient tree-based algorithm described by Guy Blelloch [1990] that- * takes 2 * log(N) steps and is in general more complex to implement.- * Previous versions of CUDPP used the Blelloch algorithm. For current GPUs,- * the warp size is 32, so this takes five steps per warp.- *- * Each thread is responsible for a single element of the array to be scanned.- * Each thread inputs a single value to the scan via \a val and returns- * its own scanned result element. The threads of each warp cooperate- * via the shared memory array \a s_data to scan WARP_SIZE elements.- *- * Template parameter \a maxlevel allows this warpscan to be performed on- * partial warps. For example, if only the first 8 elements of each warp need- * to be scanned, then warpscan only performs log2(8)=3 steps rather than 5.- *- * The computation uses 2 * WARP_SIZE elements of shared memory per warp to- * enable warps to offset beyond their input data and receive the identity- * element without using any branch instructions.- *- * \note s_data is declared volatile here to prevent the compiler from- * optimizing away writes to shared memory, and ensure correct intrawarp- * communication in the absence of __syncthreads.- *- * @return The result of the warp scan for the current thread- * @param[in] val The current threads's input to the scan- * @param[in,out] s_data A pointer to a temporary shared array of 2*CTA_SIZE- * elements used to compute the warp scans- */-template<class T, class traits,int maxlevel>-__device__ T warpscan(T val, volatile T* s_data)-{- // The following is the same as 2 * 32 * warpId + threadInWarp =- // 64*(threadIdx.x >> 5) + (threadIdx.x & (WARP_SIZE-1))- int idx = 2 * threadIdx.x - (threadIdx.x & (WARP_SIZE-1));- s_data[idx] = traits::identity();- idx += WARP_SIZE;- s_data[idx] = val; __EMUSYNC;-- // This code is needed because the warp size of device emulation- // is only 1 thread, so sync-less cooperation within a warp doesn't- // work.-#ifdef __DEVICE_EMULATION__- T t = s_data[idx - 1]; __EMUSYNC;- s_data[idx] = traits::op((const T&)s_data[idx],t); __EMUSYNC;- t = s_data[idx - 2]; __EMUSYNC;- s_data[idx] = traits::op((const T&)s_data[idx],t); __EMUSYNC;- t = s_data[idx - 4]; __EMUSYNC;- s_data[idx] = traits::op((const T&)s_data[idx],t); __EMUSYNC;- t = s_data[idx - 8]; __EMUSYNC;- s_data[idx] = traits::op((const T&)s_data[idx],t); __EMUSYNC;- t = s_data[idx - 16]; __EMUSYNC;- s_data[idx] = traits::op((const T&)s_data[idx],t); __EMUSYNC;-#else- if (0 <= maxlevel) { s_data[idx] = traits::op((const T&)s_data[idx], (const T&)s_data[idx - 1]); }- if (1 <= maxlevel) { s_data[idx] = traits::op((const T&)s_data[idx], (const T&)s_data[idx - 2]); }- if (2 <= maxlevel) { s_data[idx] = traits::op((const T&)s_data[idx], (const T&)s_data[idx - 4]); }- if (3 <= maxlevel) { s_data[idx] = traits::op((const T&)s_data[idx], (const T&)s_data[idx - 8]); }- if (4 <= maxlevel) { s_data[idx] = traits::op((const T&)s_data[idx], (const T&)s_data[idx -16]); }-#endif-- return s_data[idx-1]; // convert inclusive -> exclusive-}--/** @brief Perform a full CTA scan using the warp-scan algorithm- *- * As described in the comment for warpscan(), the warp-scan algorithm breaks- * a block of data into warp-sized chunks, and scans the chunks independently- * with a warp of threads each. To complete the scan, each warp <i>j</i> then- * writes its last element to element <i>j</i> of a temporary shared array.- * Then a single warp exclusive-scans these "warp sums". Finally, each thread- * adds the result of the warp sum scan to the result of the scan from the- * first pass.- *- * Because we scan 2*CTA_SIZE elements per thread, we have to call warpscan- * twice.- *- * @param x The first input value for the current thread- * @param y The second input value for the current thread- * @param s_data Temporary shared memory space of 2*CTA_SIZE elements for- * performing the scan- */-template <class T, class traits>-__device__ void scanWarps(T x, T y,- T *s_data)-{- T val = warpscan<T, traits, 4>(x, s_data);- __syncthreads();- T val2 = warpscan<T, traits, 4>(y, s_data);-- int idx = threadIdx.x;-- if ((idx & 31)==31)- {- s_data[idx >> 5] = traits::op(val, x);- s_data[(idx + blockDim.x) >> 5] = traits::op(val2, y);- }- __syncthreads();--#ifndef __DEVICE_EMULATION__- if (idx < 32)-#endif- {- s_data[idx] = warpscan<T,traits,(LOG_CTA_SIZE-LOG_WARP_SIZE+1)>(s_data[idx], s_data);- }- __syncthreads();-- val = traits::op(val, s_data[idx >> 5]);-- val2 = traits::op(val2, s_data[(idx + blockDim.x) >> 5]);-- __syncthreads();-- s_data[idx] = val;- s_data[idx+blockDim.x] = val2;-}--/**-* @brief CTA-level scan routine; scans s_data in shared memory in each thread block-*-* This function is the main CTA-level scan function. It may be called by other-* CUDA __global__ or __device__ functions. This function scans 2 * CTA_SIZE elements.-* Each thread is responsible for one element in each half of the input array.-* \note This code is intended to be run on a CTA of 128 threads. Other sizes are-* untested.-*-* @param[in] s_data The array to be scanned in shared memory-* @param[out] d_blockSums Array of per-block sums-* @param[in] blockSumIndex Location in \a d_blockSums to which to write this block's sum-*/-template <class T, class traits>-__device__ void scanCTA(T *s_data,- T *d_blockSums,- unsigned int blockSumIndex)-{- T val = s_data[threadIdx.x];- T val2 = s_data[threadIdx.x + blockDim.x];- __syncthreads();-- scanWarps<T,traits>(val, val2, s_data);- __syncthreads();-- if (traits::writeSums() && threadIdx.x == blockDim.x - 1)- {- d_blockSums[blockSumIndex] = traits::op(val2, s_data[threadIdx.x + blockDim.x]);- }---#ifdef __DEVICE_EMULATION__- // must sync in emulation mode when doing backward scans, because otherwise the- // shared memory array will get reversed before the block sums are read!- if (traits::isBackward())- __syncthreads();-#endif-}---/** @} */ // end scan functions-/** @} */ // end cudpp_cta
− examples/common/src/cudpp/scan_kernel.cu
@@ -1,113 +0,0 @@-// --------------------------------------------------------------// cuDPP -- CUDA Data Parallel Primitives library-// --------------------------------------------------------------// $Revision: 5633 $-// $Date: 2009-07-01 15:02:51 +1000 (Wed, 01 Jul 2009) $-// --------------------------------------------------------------// This source code is distributed under the terms of license.txt-// in the root directory of this source distribution.-// ---------------------------------------------------------------/**- * @file- * scan_kernel.cu- *- * @brief CUDPP kernel-level scan routines- */--/** \defgroup cudpp_kernel CUDPP Kernel-Level API- * The CUDPP Kernel-Level API contains functions that run on the GPU- * device across a grid of Cooperative Thread Array (CTA, aka Thread- * Block). These kernels are declared \c __global__ so that they- * must be invoked from host (CPU) code. They generally invoke GPU- * \c __device__ routines in the CUDPP \link cudpp_cta CTA-Level API\endlink.- * Kernel-Level API functions are used by CUDPP- * \link cudpp_app Application-Level\endlink functions to implement their- * functionality.- * @{- */--/** @name Scan Functions-* @{-*/--#include "cudpp/cudpp_globals.h"-#include "cudpp/scan_cta.cu"-#include "cudpp/shared_mem.h"--/**- * @brief Main scan kernel- *- * This __global__ device function performs one level of a multiblock scan on- * an arbitrary-dimensioned array in \a d_in, returning the result in \a d_out- * (which may point to the same array). The same function may be used for- * single or multi-row scans. To perform a multirow scan, pass the width of- * each row of the input row (in elements) in \a dataRowPitch, and the width of- * the rows of \a d_blockSums (in elements) in \a blockSumRowPitch, and invoke- * with a thread block grid with height greater than 1.- *- * This function peforms one level of a recursive, multiblock scan. At the- * app level, this function is called by cudppScan and cudppMultiScan and used- * in combination with vectorAddUniform4() to produce a complete scan.- *- * Template parameter \a T is the datatype of the array to be scanned.- * Template parameter \a traits is the ScanTraits struct containing- * compile-time options for the scan, such as whether it is forward or- * backward, exclusive or inclusive, multi- or single-row, etc.- *- * @param[out] d_out The output (scanned) array- * @param[in] d_in The input array to be scanned- * @param[out] d_blockSums The array of per-block sums- * @param[in] numElements The number of elements to scan- * @param[in] dataRowPitch The width of each row of \a d_in in elements- * (for multi-row scans)- * @param[in] blockSumRowPitch The with of each row of \a d_blockSums in elements- * (for multi-row scans)- */-template<class T, class traits>-__global__ void scan4(T *d_out,- const T *d_in,- T *d_blockSums,- int numElements,- unsigned int dataRowPitch,- unsigned int blockSumRowPitch)-{- SharedMemory<T> smem;- T* temp = smem.getPointer();-- int devOffset, ai, bi, aiDev, biDev;- T threadScan0[4], threadScan1[4];-- unsigned int blockN = numElements;- unsigned int blockSumIndex = blockIdx.x;-- if (traits::isMultiRow())- {- //int width = __mul24(gridDim.x, blockDim.x) << 1;- int yIndex = __umul24(blockDim.y, blockIdx.y) + threadIdx.y;- devOffset = __umul24(dataRowPitch, yIndex);- blockN += (devOffset << 2);- devOffset += __umul24(blockIdx.x, blockDim.x << 1);- blockSumIndex += __umul24(blockSumRowPitch << 2, yIndex) ;- }- else- {- devOffset = __umul24(blockIdx.x, (blockDim.x << 1));- }-- // load data into shared memory- loadSharedChunkFromMem4<T, traits>- (temp, threadScan0, threadScan1, d_in,- blockN, devOffset, ai, bi, aiDev, biDev);-- scanCTA<T, traits>(temp, d_blockSums, blockSumIndex);-- // write results to device memory- storeSharedChunkToMem4<T, traits>- (d_out, threadScan0, threadScan1, temp,- blockN, devOffset, ai, bi, aiDev, biDev);--}--/** @} */ // end scan functions-/** @} */ // end cudpp_kernel
− examples/common/src/cudpp/vector_kernel.cu
@@ -1,444 +0,0 @@-// --------------------------------------------------------------// CUDPP -- CUDA Data Parallel Primitives library-// --------------------------------------------------------------// $Revision: 5632 $-// $Date: 2009-07-01 14:36:01 +1000 (Wed, 01 Jul 2009) $-// --------------------------------------------------------------// This source code is distributed under the terms of license.txt in-// the root directory of this source distribution.-// ---------------------------------------------------------------/**- * @file- * vector_kernel.cu- *- * @brief CUDA kernel methods for basic operations on vectors.- *- * CUDA kernel methods for basic operations on vectors.- *- * Examples:- * - vectorAddConstant(): d_vector + constant- * - vectorAddUniform(): d_vector + uniform (per-block constants)- * - vectorAddVectorVector(): d_vector + d_vector- */--// MJH: these functions assume there are 2N elements for N threads.-// Is this always going to be a good idea? There may be cases where-// we have as many threads as elements, but for large problems-// we are probably limited by max CTA size for simple kernels like-// this so we should process multiple elements per thread.-// we may want to extend these with looping versions that process-// many elements per thread.--// #include "cudpp_util.h"-// #include "sharedmem.h"-// #include "cudpp.h"--/** \addtogroup cudpp_kernel- * @{- */--/** @name Vector Functions- * CUDA kernel methods for basic operations on vectors.- * @{- */--#if 0-/** @brief Adds a constant value to all values in the input d_vector- *- * Each thread adds two pairs of elements.- * @todo Test this function -- it is currently not yet used.- *- * @param[in,out] d_vector The array of elements to be modified- * @param[in] constant The constant value to be added to elements of- * \a d_vector- * @param[in] n The number of elements in the d_vector to be modified- * @param[in] baseIndex An optional offset to the beginning of the- * elements in the input array to be processed- */-template <class T>-__global__ void vectorAddConstant(T *d_vector,- T constant,- int n,- int baseIndex)-{- // Compute this thread's output address- unsigned int address = baseIndex + threadIdx.x +- __mul24(blockIdx.x, (blockDim.x << 1));-- // note two adds per thread: one in first half of the block, one in last- d_vector[address] += constant;- d_vector[address + blockDim.x] += (threadIdx.x + blockDim.x < n) * constant;-}-#endif-#if 0- /** @brief Add a uniform value to each data element of an array- *- * This function reads one value per CTA from \a d_uniforms into shared- * memory and adds that value to all values "owned" by the CTA in \a- * d_vector. Each thread adds two pairs of values.- *- * @param[out] d_vector The d_vector whose values will have the uniform added- * @param[in] d_uniforms The array of uniform values (one per CTA)- * @param[in] numElements The number of elements in \a d_vector to process- * @param[in] blockOffset an optional offset to the beginning of this block's- * data.- * @param[in] baseIndex an optional offset to the beginning of the array- * within \a d_vector.- */-template <class T>-__global__ void vectorAddUniform(T *d_vector,- const T *d_uniforms,- int numElements,- int blockOffset,- int baseIndex)-{- __shared__ T uni;- // Get this block's uniform value from the uniform array in device memory- // We store it in shared memory so that the hardware's shared memory- // broadcast capability can be used to share among all threads in each warp- // in a single cycle- if (threadIdx.x == 0)- {- uni = d_uniforms[blockIdx.x + __mul24(gridDim.x, blockIdx.y) + blockOffset];- }-- // Compute this thread's output address- int width = __mul24(gridDim.x,(blockDim.x << 1));-- unsigned int address = baseIndex + __mul24(width, blockIdx.y)- + threadIdx.x + __mul24(blockIdx.x, (blockDim.x << 1));-- __syncthreads();-- // note two adds per thread: one in first half of the block, one in last- d_vector[address] += uni;- if (threadIdx.x + blockDim.x < numElements) d_vector[address + blockDim.x] += uni;-}-#endif--/** @brief Add a uniform value to each data element of an array (vec4 version)- *- * This function reads one value per CTA from \a d_uniforms into shared- * memory and adds that value to all values "owned" by the CTA in \a d_vector.- * Each thread adds the uniform value to eight values in \a d_vector.- *- * @param[out] d_vector The d_vector whose values will have the uniform added- * @param[in] d_uniforms The array of uniform values (one per CTA)- * @param[in] numElements The number of elements in \a d_vector to process- * @param[in] vectorRowPitch For 2D arrays, the pitch (in elements) of the- * rows of \a d_vector.- * @param[in] uniformRowPitch For 2D arrays, the pitch (in elements) of the- * rows of \a d_uniforms.- * @param[in] blockOffset an optional offset to the beginning of this block's- * data.- * @param[in] baseIndex an optional offset to the beginning of the array- * within \a d_vector.- */-template <class T, class op, int elementsPerThread>-__global__ void vectorAddUniform4(T *d_vector,- const T *d_uniforms,- int numElements,- int vectorRowPitch, // width of input array in elements- int uniformRowPitch, // width of uniform array in elements- int blockOffset,- int baseIndex)-{- __shared__ T uni;- // Get this block's uniform value from the uniform array in device memory- // We store it in shared memory so that the hardware's shared memory- // broadcast capability can be used to share among all threads in each warp- // in a single cycle- if (threadIdx.x == 0)- {- uni = d_uniforms[blockIdx.x + __umul24(uniformRowPitch, blockIdx.y) + blockOffset];- }-- // Compute this thread's output address- //int width = __mul24(gridDim.x,(blockDim.x << 1));-- unsigned int address = baseIndex + __umul24(vectorRowPitch, blockIdx.y)- + threadIdx.x + __umul24(blockIdx.x, (blockDim.x * elementsPerThread));- numElements += __umul24(vectorRowPitch, blockIdx.y);-- __syncthreads();-- for (int i = 0; i < elementsPerThread && address < numElements; i++)- {- d_vector[address] = op::apply(d_vector[address], uni);- address += blockDim.x;- }-}--#if 0-/** @brief Adds together two vectors- *- * Each thread adds two pairs of elements.- * @todo Test this function -- it is currently not yet used.- *- * @param[out] d_vectorA The left operand array and the result- * @param[in] d_vectorB The right operand array- * @param[in] numElements The number of elements in the vectors to be added.- * @param[in] baseIndex An optional offset to the beginning of the- * elements in the input arrays to be processed- */-template <class T>-__global__ void vectorAddVector(T *d_vectorA, // A += B- const T *d_vectorB,- int numElements,- int baseIndex)-{- // Compute this thread's output address- unsigned int address = baseIndex + threadIdx.x +- __mul24(blockIdx.x, (blockDim.x << 1));-- // note two adds per thread: one in first half of the block, one in last- d_vectorA[address] += d_vectorB[address];- d_vectorA[address + blockDim.x] +=- (threadIdx.x + blockDim.x < numElements) * d_vectorB[address];-}-#endif--/** @brief Add a uniform value to data elements of an array (vec4 version)- *- * This function reads one value per CTA from \a d_uniforms into shared- * memory and adds that value to values "owned" by the CTA in \a d_vector.- * The uniform value is added to only those values "owned" by the CTA which- * have an index less than d_maxIndex. If d_maxIndex for that CTA is UINT_MAX- * it adds the uniform to all values "owned" by the CTA.- * Each thread adds the uniform value to eight values in \a d_vector.- *- * @param[out] d_vector The d_vector whose values will have the uniform added- * @param[in] d_uniforms The array of uniform values (one per CTA)- * @param[in] d_maxIndices The array of maximum indices (one per CTA). This is- * index upto which the uniform would be added. If this is UINT_MAX- * the uniform is added to all elements of the CTA. This index is- * 1-based.- * @param[in] numElements The number of elements in \a d_vector to process- * @param[in] blockOffset an optional offset to the beginning of this block's- * data.- * @param[in] baseIndex an optional offset to the beginning of the array- * within \a d_vector.- */-template <class T, class op, bool isLastBlockFull>-__global__ void vectorSegmentedAddUniform4(T *d_vector,- const T *d_uniforms,- const unsigned int *d_maxIndices,- unsigned int numElements,- int blockOffset,- int baseIndex)-{- __shared__ T uni[2];-- unsigned int blockAddress =- blockIdx.x + __mul24(gridDim.x, blockIdx.y) + blockOffset;-- // Get this block's uniform value from the uniform array in device memory- // We store it in shared memory so that the hardware's shared memory- // broadcast capability can be used to share among all threads in each warp- // in a single cycle-- if (threadIdx.x == 0)- {- if (blockAddress > 0)- uni[0] = d_uniforms[blockAddress-1];- else- uni[0] = op::identity();-- // Tacit assumption that T is four-byte wide- uni[1] = (T)(d_maxIndices[blockAddress]);- }-- // Compute this thread's output address- int width = __mul24(gridDim.x,(blockDim.x << 1));-- unsigned int address = baseIndex + __mul24(width, blockIdx.y)- + threadIdx.x + __mul24(blockIdx.x, (blockDim.x << 3));-- __syncthreads();-- unsigned int maxIndex = (unsigned int)(uni[1]);-- bool isLastBlock = (blockIdx.x == (gridDim.x-1));-- if (maxIndex < UINT_MAX)- {- // Since maxIndex is a 1 based index- --maxIndex;- bool leftLess = address < maxIndex;- bool rightLess = (address + 7 * blockDim.x) < maxIndex;-- if (leftLess)- {- if (rightLess)- {- for (unsigned int i = 0; i < 8; ++i)- d_vector[address + i * blockDim.x] =- op::apply(d_vector[address + i * blockDim.x], uni[0]);- }- else- {- for (unsigned int i=0; i < 8; ++i)- {- if (address < maxIndex)- d_vector[address] =- op::apply(d_vector[address], uni[0]);-- address += blockDim.x;- }- }- }- }- else- {- if (!isLastBlockFull && isLastBlock)- {- for (unsigned int i = 0; i < 8; ++i)- {- if (address < numElements)- d_vector[address] =- op::apply(d_vector[address], uni[0]);-- address += blockDim.x;- }- }- else- {- for (unsigned int i=0; i<8; ++i)- {- d_vector[address] =- op::apply(d_vector[address], uni[0]);-- address += blockDim.x;- }- }- }-}---/** @brief Add a uniform value to data elements of an array (vec4 version)- *- * This function reads one value per CTA from \a d_uniforms into shared- * memory and adds that value to values "owned" by the CTA in \a d_vector.- * The uniform value is added to only those values "owned" by the CTA which- * have an index greater than d_minIndex. If d_minIndex for that CTA is 0- * it adds the uniform to all values "owned" by the CTA.- * Each thread adds the uniform value to eight values in \a d_vector.- *- * @param[out] d_vector The d_vector whose values will have the uniform added- * @param[in] d_uniforms The array of uniform values (one per CTA)- * @param[in] d_minIndices The array of minimum indices (one per CTA). The- * uniform is added to the right of this index (that is, to every index- * that is greater than this index). If this is 0, the uniform is- * added to all elements of the CTA. This index is 1-based to- * prevent overloading of what 0 means. In our case it means- * absence of a flag. But if the first element of a CTA has- * flag the index will also be 0. Hence we use 1-based indices- * so the index is 1 in the latter case.- * @param[in] numElements The number of elements in \a d_vector to process- * @param[in] blockOffset an optional offset to the beginning of this block's- * data.- * @param[in] baseIndex an optional offset to the beginning of the array- * within \a d_vector.- *- */-template <class T, class op, bool isLastBlockFull>-__global__ void vectorSegmentedAddUniformToRight4(T *d_vector,- const T *d_uniforms,- const unsigned int *d_minIndices,- unsigned int numElements,- int blockOffset,- int baseIndex)-{- __shared__ T uni[2];-- unsigned int blockAddress =- blockIdx.x + __mul24(gridDim.x, blockIdx.y) + blockOffset;-- // Get this block's uniform value from the uniform array in device memory- // We store it in shared memory so that the hardware's shared memory- // broadcast capability can be used to share among all threads in each warp- // in a single cycle-- if (threadIdx.x == 0)- {- // FIXME - blockAddress test here is incompatible with how it is calculated- // above- if (blockAddress < (gridDim.x-1))- uni[0] = d_uniforms[blockAddress+1];- else- uni[0] = op::identity();-- // Tacit assumption that T is four-byte wide- uni[1] = (T)(d_minIndices[blockAddress]);- }-- // Compute this thread's output address- int width = __mul24(gridDim.x,(blockDim.x << 1));-- unsigned int address = baseIndex + __mul24(width, blockIdx.y)- + threadIdx.x + __mul24(blockIdx.x, (blockDim.x << 3));-- __syncthreads();-- unsigned int minIndex = (unsigned int)(uni[1]);-- bool isLastBlock = (blockIdx.x == (gridDim.x-1));-- if (minIndex > 0)- {- // Since minIndex is a 1 based index- --minIndex;- bool leftInRange = address > minIndex;- bool rightInRange = (address + 7 * blockDim.x) > minIndex;-- if (rightInRange)- {- if (leftInRange)- {- for (unsigned int i = 0; i < 8; ++i)- d_vector[address + i * blockDim.x] =- op::apply(d_vector[address + i * blockDim.x], uni[0]);- }- else- {- for (unsigned int i=0; i < 8; ++i)- {- if (address > minIndex)- d_vector[address] =- op::apply(d_vector[address], uni[0]);-- address += blockDim.x;- }- }- }- }- else- {- if (!isLastBlockFull && isLastBlock)- {- for (unsigned int i = 0; i < 8; ++i)- {- if (address < numElements)- d_vector[address] =- op::apply(d_vector[address], uni[0]);-- address += blockDim.x;- }- }- else- {- for (unsigned int i=0; i<8; ++i)- {- d_vector[address] =- op::apply(d_vector[address], uni[0]);-- address += blockDim.x;- }- }- }-}---/** @} */ // end d_vector functions-/** @} */ // end cudpp_kernel
− examples/src/bandwidthTest/BandwidthTest.hs
@@ -1,221 +0,0 @@--------------------------------------------------------------------------------------- Module : Fold--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Reduce a vector to a single value--------------------------------------------------------------------------------------module Main where---- Friends-import PrettyPrint---- System-import Numeric-import Data.List-import Control.Monad-import Control.Exception-import System.Exit-import System.Environment-import System.Console.GetOpt-import Text.PrettyPrint--import Foreign-import qualified Foreign.CUDA as CUDA-import qualified Foreign.CUDA.Runtime.Event as CUDA-------------------------------------------------------------------------------------- Options-----------------------------------------------------------------------------------data TestMode = Quick | Range | Shmoo- deriving (Eq,Show,Read)--data MemoryMode = List | Pageable | Pinned | WriteCombined- deriving (Eq,Show,Read,Ord,Enum)--data CopyMode = HostToDevice | DeviceToHost | DeviceToDevice- deriving (Eq,Show,Read,Ord,Enum)--data Options = Options- { testMode :: TestMode--- , memoryMode :: [MemoryMode]--- , copyMode :: [CopyMode]- , device :: Int- , range :: (Int,Int,Int)- }- deriving (Show)--defaultOptions :: Options-defaultOptions = Options- { device = 0- , testMode = Quick--- , memoryMode = []--- , copyMode = []- , range = (kilobyte, kilobyte, 10*kilobyte)- }--kilobyte, megabyte :: Int-kilobyte = 1 `shift` 10-megabyte = 1 `shift` 20--options :: [OptDescr (Options -> Options)]-options =- [ Option ['d'] ["device"] (ReqArg (\d opts -> opts { device = read d }) "ID") "numeral of device to test"- , Option ['t'] ["test"] (ReqArg (\t opts -> opts { testMode = read t}) "MODE") "testing mode: Quick | Range | Shmoo"--- , Option ['m'] ["memory"] (ReqArg (\m opts -> opts { memoryMode = read m : memoryMode opts}) "MODE") "memory copy mode: List | Pageable | Pinned | WriteCombined"--- , Option ['c'] ["copy"] (ReqArg (\c opts -> opts { copyMode = read c : copyMode opts}) "DIRECTION") "memory copy direction: DeviceToHost | HostToDevice | DeviceToDevice"- , Option ['s'] ["start"] (ReqArg (\s opts -> opts { range = let (_,i,e) = range opts in (read s,i,e)}) "BYTES") "starting transfer size"- , Option ['i'] ["increment"] (ReqArg (\i opts -> opts { range = let (s,_,e) = range opts in (s,read i,e)}) "BYTES") "transfer test size increment"- , Option ['e'] ["end"] (ReqArg (\e opts -> opts { range = let (s,i,_) = range opts in (s,i,read e)}) "BYTES") "ending transfer size"- ]-------------------------------------------------------------------------------------- Testing------------------------------------------------------------------------------------- Benchmarking----bench :: Int -> IO a -> IO Double-bench n testee =- let iter = 10- size = fromIntegral (iter * n) * fromIntegral (sizeOf (undefined::Int))- in- bracket (CUDA.create []) CUDA.destroy $ \start ->- bracket (CUDA.create []) CUDA.destroy $ \stop -> do- CUDA.record start Nothing- replicateM_ iter testee- CUDA.record stop Nothing- CUDA.sync- ms <- realToFrac `fmap` CUDA.elapsedTime start stop- return $ 1E3 * size / (fromIntegral megabyte * ms)----- Bandwidth testing for the various copy modes----bandwidth :: CopyMode -> MemoryMode -> Int -> IO Double--bandwidth HostToDevice List n =- bench n (CUDA.withListArray [1..n] (\_ -> return ()))--bandwidth HostToDevice Pageable n =- CUDA.allocaArray n $ \d_ptr ->- withArray [1..n] $ \h_ptr ->- bench n (CUDA.pokeArray n h_ptr d_ptr)--bandwidth HostToDevice x n =- CUDA.allocaArray n $ \d_ptr ->- let f = if x == WriteCombined then [CUDA.WriteCombined] else [] in- bracket (CUDA.mallocHostArray f n) (CUDA.freeHost) $ \h_ptr -> do- pokeArray (CUDA.useHostPtr h_ptr) [1..n]- bench n (CUDA.pokeArrayAsync n h_ptr d_ptr Nothing)--bandwidth DeviceToHost List n =- CUDA.withListArray [1..n] $ \d_ptr ->- bench n (CUDA.peekListArray n d_ptr)--bandwidth DeviceToHost Pageable n =- allocaArray n $ \h_ptr ->- CUDA.withListArray [1..n] $ \d_ptr ->- bench n (CUDA.peekArray n d_ptr h_ptr)--bandwidth DeviceToHost x n =- let f = if x == WriteCombined then [CUDA.WriteCombined] else [] in- bracket (CUDA.mallocHostArray f n) (CUDA.freeHost) $ \h_ptr ->- CUDA.withListArray [1..n] $ \d_ptr ->- bench n (CUDA.peekArrayAsync n d_ptr h_ptr Nothing)--bandwidth DeviceToDevice _ n =- CUDA.withListArray [1..n] $ \d_src ->- CUDA.allocaArray n $ \d_dst ->- (\x->2*x) `fmap` bench n (CUDA.copyArray n d_src d_dst)----- Testing modes----runTests :: [Int] -> IO [(String,[Double])]-runTests bytes = sequence $- [ run m c | m <- [List ..], c <- [HostToDevice,DeviceToHost]] ++ [ run Pageable DeviceToDevice ]- where- run m c =- mapM (\b -> bandwidth c m (b `div` sizeOf (undefined::Int))) bytes >>= \t ->- return (sc c ++ sm m, t)-- sc DeviceToHost = "D->H"- sc HostToDevice = "H->D"- sc DeviceToDevice = "D->D"- sm List = " (List)"- sm Pinned = " (Pinned)"- sm WriteCombined = " (WC)"- sm Pageable = ""-------------------------------------------------------------------------------------- Main-----------------------------------------------------------------------------------printQuick :: [(String,[Double])] -> IO ()-printQuick = printDoc . ppAsRows 1 . (++) header . map k- where- k (x,y) = text x : map float' y- float' = text . flip (showFFloat (Just 2)) ""- header = map (map text) [["Mode", "Bandwidth (MB/s)"]- ,["----", "----------------"]]--printMany :: [Int] -> [(String,[Double])] -> IO ()-printMany xs tests =- printDoc . ppAsRows 1 . (++) header . zipWith k xs . transpose . snd . unzip $ tests- where- k b ys = int b : map float' ys- float' = text . flip (showFFloat (Just 2)) ""-- titles = "Size (bytes)" : fst (unzip tests)- seperator = map (flip replicate '-' . length) $ titles- header = map (map text) [titles,seperator]---parseOptions :: [String] -> IO (Options, [String])-parseOptions argv =- case getOpt Permute options argv of- (o,n,[]) -> return (foldl (flip id) defaultOptions o, n)- (_,_,errs) -> do putStrLn $ concat errs ++ usageInfo header options- exitFailure- where- header = "Usage: bandwidthTest [OPTION...]"--shmooBytes :: [Int]-shmooBytes =- [ kilobyte, 2*kilobyte .. 20*kilobyte ] ++- [ 22*kilobyte, 24*kilobyte .. 50*kilobyte ] ++- [ 60*kilobyte, 70*kilobyte .. 100*kilobyte ] ++- [ 200*kilobyte, 300*kilobyte .. 1*megabyte ] ++- [ 2*megabyte, 3*megabyte .. 16*megabyte ] ++- [ 18*megabyte, 20*megabyte .. 32*megabyte ] ++- [ 36*megabyte, 40*megabyte .. 64*megabyte ]---- Main----main :: IO ()-main = do- (opts,_) <- parseOptions =<< getArgs- props <- CUDA.props (device opts)- putStrLn $ "Device " ++ show (device opts) ++ ": " ++ (CUDA.deviceName props)-- let (s,i,e) = range opts- bytes = [s,(s+i)..e]-- case testMode opts of- Quick -> putStrLn "Quick mode: Bandwidth of 32MB transfer"- _ -> putStrLn "Bandwidth measured in MB/s"-- putStrLn "Please wait...\n"- case testMode opts of- Range -> runTests bytes >>= printMany bytes- Shmoo -> runTests shmooBytes >>= printMany shmooBytes- Quick -> runTests [32*megabyte] >>= printQuick-
− examples/src/bandwidthTest/Makefile
@@ -1,18 +0,0 @@-#-# Baking!-#--# -------------------------------------------------------------------------------# Input files-# -------------------------------------------------------------------------------EXECUTABLE := bandwidthTest--HSMAIN := BandwidthTest.hs-CUFILES :=--EXTRALIBS :=--# -------------------------------------------------------------------------------# Haskell/CUDA build system-# -------------------------------------------------------------------------------include ../../common/common.mk
− examples/src/bandwidthTest/results/GT120.pdf
binary file changed (38879 → absent bytes)
− examples/src/bandwidthTest/results/Tesla.pdf
binary file changed (38483 → absent bytes)
− examples/src/fold/Fold.chs
@@ -1,79 +0,0 @@-{-# LANGUAGE ForeignFunctionInterface #-}--------------------------------------------------------------------------------------- Module : Fold--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Reduce a vector to a single value--------------------------------------------------------------------------------------module Main where--#include "fold.h"---- Friends-import C2HS-import Time-import RandomVector---- System-import Control.Exception-import qualified Foreign.CUDA.Runtime as CUDA-------------------------------------------------------------------------------------- Reference-----------------------------------------------------------------------------------foldRef :: Num e => [e] -> IO e-foldRef xs = do- (t,r) <- benchmark 100 (evaluate (foldl (+) 0 xs)) (return ())- putStrLn $ "== Reference: " ++ shows (fromInteger (timeIn millisecond t)/100::Float) " ms"- return r------------------------------------------------------------------------------------- CUDA---------------------------------------------------------------------------------------- Note that this requires two memory copies: once from a Haskell list to the C--- heap, and from there into the graphics card memory. See the `bandwidthTest'--- example for the atrocious performance of this operation.------ For this test, cheat a little and just time the pure computation.----foldCUDA :: [Float] -> IO Float-foldCUDA xs = do- let len = length xs- CUDA.withListArray xs $ \d_xs -> do- (t,r) <- benchmark 100 (fold_plusf d_xs len) CUDA.sync- putStrLn $ "== CUDA: " ++ shows (fromInteger (timeIn millisecond t)/100::Float) " ms"- return r--{# fun unsafe fold_plusf- { withDP* `CUDA.DevicePtr Float'- , `Int'- }- -> `Float' cFloatConv #}- where- withDP p a = CUDA.withDevicePtr p $ \p' -> a (castPtr p')-------------------------------------------------------------------------------------- Main-----------------------------------------------------------------------------------main :: IO ()-main = do- dev <- CUDA.get- props <- CUDA.props dev- putStrLn $ "Using device " ++ show dev ++ ": " ++ CUDA.deviceName props-- xs <- randomList 30000- ref <- foldRef xs- cuda <- foldCUDA xs-- putStrLn $ "== Validating: " ++ if ((ref-cuda)/ref) < 0.0001 then "Ok!" else "INVALID!"-
− examples/src/fold/Makefile
@@ -1,18 +0,0 @@-#-# Baking!-#--# -------------------------------------------------------------------------------# Input files-# -------------------------------------------------------------------------------EXECUTABLE := fold--HSMAIN := Fold.chs-CUFILES := fold.cu--EXTRALIBS := stdc++--# -------------------------------------------------------------------------------# Haskell/CUDA build system-# -------------------------------------------------------------------------------include ../../common/common.mk
− examples/src/fold/fold.cu
@@ -1,223 +0,0 @@-/* ------------------------------------------------------------------------------ *- * Module : Fold- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- * ---------------------------------------------------------------------------*/--#include "fold.h"--#include "utils.h"-#include "operator.h"-#include "cudpp/shared_mem.h"---/*- * Compute multiple elements per thread sequentially. This reduces the overall- * cost of the algorithm while keeping the work complexity O(n) and the step- * complexity O(log n). c.f. Brent's Theorem optimisation.- *- * Stolen from the CUDA SDK examples- */-template <unsigned int blockSize, bool lengthIsPow2, class op, typename T>-__global__ static void-fold_recursive-(- const T *d_xs,- T *d_ys,- int length-)-{- SharedMemory<T> smem;- T *scratch = smem.getPointer();-- /*- * Calculate first level of reduction reading into shared memory- */- unsigned int i;- unsigned int tid = threadIdx.x;- unsigned int gridSize = blockSize * 2 * gridDim.x;-- scratch[tid] = op::identity();-- /*- * Reduce multiple elements per thread. The number is determined by the- * number of active thread blocks (via gridDim). More blocks will result in- * a larger `gridSize', and hence fewer elements per thread- *- * The loop stride of `gridSize' is used to maintain coalescing.- */- for (i = blockIdx.x * blockSize * 2 + tid; i < length; i += gridSize)- {- scratch[tid] = op::apply(scratch[tid], d_xs[i]);-- /*- * Ensure we don't read out of bounds. This is optimised away if the- * input length is a power of two- */- if (lengthIsPow2 || i + blockSize < length)- scratch[tid] = op::apply(scratch[tid], d_xs[i+blockSize]);- }- __syncthreads();-- /*- * Now, calculate the reduction in shared memory- */- if (blockSize >= 512) { if (tid < 256) { scratch[tid] = op::apply(scratch[tid], scratch[tid+256]); } __syncthreads(); }- if (blockSize >= 256) { if (tid < 128) { scratch[tid] = op::apply(scratch[tid], scratch[tid+128]); } __syncthreads(); }- if (blockSize >= 128) { if (tid < 64) { scratch[tid] = op::apply(scratch[tid], scratch[tid+ 64]); } __syncthreads(); }--#ifndef __DEVICE_EMULATION__- if (tid < 32)-#endif- {- if (blockSize >= 64) { scratch[tid] = op::apply(scratch[tid], scratch[tid+32]); __EMUSYNC; }- if (blockSize >= 32) { scratch[tid] = op::apply(scratch[tid], scratch[tid+16]); __EMUSYNC; }- if (blockSize >= 16) { scratch[tid] = op::apply(scratch[tid], scratch[tid+ 8]); __EMUSYNC; }- if (blockSize >= 8) { scratch[tid] = op::apply(scratch[tid], scratch[tid+ 4]); __EMUSYNC; }- if (blockSize >= 4) { scratch[tid] = op::apply(scratch[tid], scratch[tid+ 2]); __EMUSYNC; }- if (blockSize >= 2) { scratch[tid] = op::apply(scratch[tid], scratch[tid+ 1]); __EMUSYNC; }- }-- /*- * Write the results of this block back to global memory- */- if (tid == 0)- d_ys[blockIdx.x] = scratch[0];-}---/*- * Wrapper function for kernel launch- */-template <class op, typename T>-static void-fold_dispatch-(- const T *d_xs,- T *d_ys,- int length,- int blocks,- int threads-)-{- unsigned int smem = threads * sizeof(T);-- if (isPow2(length))- {- switch (threads)- {- case 512: fold_recursive<512,true,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 256: fold_recursive<256,true,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 128: fold_recursive<128,true,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 64: fold_recursive< 64,true,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 32: fold_recursive< 32,true,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 16: fold_recursive< 16,true,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 8: fold_recursive< 8,true,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 4: fold_recursive< 4,true,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 2: fold_recursive< 2,true,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 1: fold_recursive< 1,true,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- default:- assert(!"Non-exhaustive patterns in match");- }- }- else- {- switch (threads)- {- case 512: fold_recursive<512,false,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 256: fold_recursive<256,false,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 128: fold_recursive<128,false,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 64: fold_recursive< 64,false,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 32: fold_recursive< 32,false,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 16: fold_recursive< 16,false,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 8: fold_recursive< 8,false,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 4: fold_recursive< 4,false,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 2: fold_recursive< 2,false,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- case 1: fold_recursive< 1,false,op,T><<<blocks,threads,smem>>>(d_xs, d_ys, length); break;- default:- assert(!"Non-exhaustive patterns in match");- }- }-}---/*- * Compute the number of blocks and threads to use for the reduction kernel- */-static void-fold_control-(- int n,- int &blocks,- int &threads,- int maxThreads = MAX_THREADS,- int maxBlocks = MAX_BLOCKS-)-{- threads = (n < maxThreads*2) ? ceilPow2((n+1)/2) : maxThreads;- blocks = (n + threads * 2 - 1) / (threads * 2);- blocks = min(blocks, maxBlocks);-}---/*- * Apply a binary operator to an array, reducing the array to a single value.- * The reduction will take place in parallel, so the operator must be- * associative.- */-template <class op, typename T>-T-fold-(- const T *d_xs,- int n-)-{- int blocks;- int threads;- T gpu_result;- T* d_data = NULL;-- /*- * Allocate temporary storage for the block-level reduction- */- fold_control(n, blocks, threads);- cudaMalloc((void **) &d_data, sizeof(T) * blocks);-- /*- * Recursively fold the partial block sums to a single value- */- fold_dispatch<op,T>(d_xs, d_data, n, blocks, threads);-- n = blocks;- while (n > 1)- {- fold_control(n, blocks, threads);- fold_dispatch<op,T>(d_data, d_data, n, blocks, threads);-- n = (n + threads * 2 - 1) / (threads * 2);- }- assert(n == 1);-- /*- * Read back the final result- */- cudaMemcpy(&gpu_result, d_data, sizeof(T), cudaMemcpyDeviceToHost);- cudaFree(d_data);-- return gpu_result;-}---// ------------------------------------------------------------------------------// Instances-// -------------------------------------------------------------------------------float fold_plusf(float *xs, int N)-{- float result = fold< Plus<float> >(xs, N);- return result;-}-
− examples/src/fold/fold.h
@@ -1,32 +0,0 @@-/* ------------------------------------------------------------------------------ *- * Module : Fold- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- * ---------------------------------------------------------------------------*/--#ifndef __FOLD_H__-#define __FOLD_H__--/*- * Optimised for Tesla.- * Maximum thread occupancy for your card may be achieved with different values.- */-#define MAX_THREADS 128-#define MAX_BLOCKS 64--#ifdef __cplusplus-extern "C" {-#endif--/*- * Instances- */-float fold_plusf(float *xs, int N);---#ifdef __cplusplus-}-#endif-#endif
− examples/src/matrixMul/LICENSE
@@ -1,187 +0,0 @@-NVIDIA Corporation GPU COMPUTING SDK END USER LICENSE AGREEMENT ("Agreement")--BY DOWNLOADING THE SOFTWARE AND OTHER AVAILABLE MATERIALS, YOU ("DEVELOPER")-AGREE TO BE BOUND BY THE FOLLOWING TERMS AND CONDITIONS OF THIS AGREEMENT. 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− examples/src/matrixMul/Makefile
@@ -1,18 +0,0 @@-#-# Baking!-#--# -------------------------------------------------------------------------------# Input files-# -------------------------------------------------------------------------------EXECUTABLE := matrixMul--HSMAIN := MatrixMul.hs-CUFILES := matrix_mul.cu--EXTRALIBS := stdc++--# -------------------------------------------------------------------------------# Haskell/CUDA build system-# -------------------------------------------------------------------------------include ../../common/common.mk
− examples/src/matrixMul/MatrixMul.hs
@@ -1,114 +0,0 @@-{-# LANGUAGE CPP #-}--------------------------------------------------------------------------------------- Module : MatrixMul--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Matrix multiplication using runtime interface and execution control instead--- of calling C functions via the FFI.--------------------------------------------------------------------------------------module Main where--#include "matrix_mul.h"---- Friends-import Time-import RandomVector---- System-import Data.Array-import System.IO-import Foreign-import qualified Foreign.CUDA as CUDA-------------------------------------------------------------------------------------- Reference-----------------------------------------------------------------------------------matMult :: (Num e, Storable e) => Matrix e -> Matrix e -> IO (Matrix e)-matMult mx my = do- x <- unsafeFreeze mx- y <- unsafeFreeze my- let ((li, lj), (ui, uj)) = bounds x- ((li',lj'),(ui',uj')) = bounds y- resBnds | (lj,uj) == (li',ui') = ((li,lj'),(ui,uj'))- | otherwise = error "matrix dimensions must agree"-- newListArray resBnds [sum [x!(i,k) * y!(k,j) | k <- range (lj,uj)]- | i <- range (li,ui)- , j <- range (lj',uj') ]-------------------------------------------------------------------------------------- CUDA-----------------------------------------------------------------------------------matMultCUDA :: (Num e, Storable e) => Matrix e -> Matrix e -> IO (Matrix e)-matMultCUDA xs' ys' = doMult undefined xs' ys'- where- doMult :: (Num e', Storable e') => e' -> Matrix e' -> Matrix e' -> IO (Matrix e')- doMult dummy xs ys = do-- -- Setup matrix parameters- --- ((li, lj), (ui, uj)) <- getBounds xs- ((li',lj'),(ui',uj')) <- getBounds ys- let wx = rangeSize (lj,uj)- hx = rangeSize (li,ui)- wy = rangeSize (lj',uj')- hy = rangeSize (li',ui')- resBnds | wx == hy = ((li,lj'),(ui,uj'))- | otherwise = error "matrix dimensions must agree"-- -- Allocate memory and copy test data- --- CUDA.allocaArray (wx*hx) $ \d_xs -> do- CUDA.allocaArray (wy*hy) $ \d_ys -> do- CUDA.allocaArray (wy*hx) $ \d_zs -> do- withMatrix xs $ \p -> CUDA.pokeArray (wx*hx) p d_xs- withMatrix ys $ \p -> CUDA.pokeArray (wy*hy) p d_ys-- -- Launch the kernel- --- let gridDim = (wy`div`BLOCK_SIZE, hx`div`BLOCK_SIZE)- blockDim = (BLOCK_SIZE,BLOCK_SIZE,1)- sharedMem = 2 * BLOCK_SIZE * BLOCK_SIZE * fromIntegral (sizeOf dummy)-- CUDA.setConfig gridDim blockDim sharedMem Nothing- CUDA.setParams [CUDA.VArg d_xs, CUDA.VArg d_ys, CUDA.VArg d_zs, CUDA.IArg wx, CUDA.IArg wy]- CUDA.launch "matrixMul"-- -- Copy back result- zs <- newArray_ resBnds- withMatrix zs $ \p -> CUDA.peekArray (wy*hx) d_zs p- return zs-------------------------------------------------------------------------------------- Main-----------------------------------------------------------------------------------main :: IO ()-main = do- dev <- CUDA.get- props <- CUDA.props dev- putStrLn $ "Using device " ++ show dev ++ ": " ++ CUDA.deviceName props-- xs <- randomArr ((1,1),(8*BLOCK_SIZE, 4*BLOCK_SIZE)) :: IO (Matrix Float)- ys <- randomArr ((1,1),(4*BLOCK_SIZE,12*BLOCK_SIZE)) :: IO (Matrix Float)-- putStr "== Reference: " >> hFlush stdout- (tr,ref) <- benchmark 100 (matMult xs ys) (return ())- putStrLn $ shows (fromInteger (timeIn millisecond tr) / 100::Float) " ms"-- putStr "== CUDA: " >> hFlush stdout- (tc,mat) <- benchmark 100 (matMultCUDA xs ys) (CUDA.sync)- putStrLn $ shows (fromInteger (timeIn millisecond tc) / 100::Float) " ms"-- putStr "== Validating: "- verify ref mat >>= \rv -> putStrLn $ if rv then "Ok!" else "INVALID!"-
− examples/src/matrixMul/matrix_mul.cu
@@ -1,110 +0,0 @@-/*- * Copyright 1993-2009 NVIDIA Corporation. All rights reserved.- *- * NVIDIA Corporation and its licensors retain all intellectual property and - * proprietary rights in and to this software and related documentation. - * Any use, reproduction, disclosure, or distribution of this software - * and related documentation without an express license agreement from- * NVIDIA Corporation is strictly prohibited.- *- * Please refer to the applicable NVIDIA end user license agreement (EULA) - * associated with this source code for terms and conditions that govern - * your use of this NVIDIA software.- * - */--/* Matrix multiplication: C = A * B.- * Device code.- */--#ifndef _MATRIXMUL_KERNEL_H_-#define _MATRIXMUL_KERNEL_H_--#include <stdio.h>-#include "matrix_mul.h"--#define CHECK_BANK_CONFLICTS 0-#if CHECK_BANK_CONFLICTS-#define AS(i, j) cutilBankChecker(((float*)&As[0][0]), (BLOCK_SIZE * i + j))-#define BS(i, j) cutilBankChecker(((float*)&Bs[0][0]), (BLOCK_SIZE * i + j))-#else-#define AS(i, j) As[i][j]-#define BS(i, j) Bs[i][j]-#endif--////////////////////////////////////////////////////////////////////////////////-//! Matrix multiplication on the device: C = A * B-//! wA is A's width and wB is B's width-////////////////////////////////////////////////////////////////////////////////-extern "C" __global__ void-matrixMul(float* A, float* B, float* C, int wA, int wB)-{- // Block index- int bx = blockIdx.x;- int by = blockIdx.y;-- // Thread index- int tx = threadIdx.x;- int ty = threadIdx.y;-- // Index of the first sub-matrix of A processed by the block- int aBegin = wA * BLOCK_SIZE * by;-- // Index of the last sub-matrix of A processed by the block- int aEnd = aBegin + wA - 1;-- // Step size used to iterate through the sub-matrices of A- int aStep = BLOCK_SIZE;-- // Index of the first sub-matrix of B processed by the block- int bBegin = BLOCK_SIZE * bx;-- // Step size used to iterate through the sub-matrices of B- int bStep = BLOCK_SIZE * wB;-- // Csub is used to store the element of the block sub-matrix- // that is computed by the thread- float Csub = 0;-- // Loop over all the sub-matrices of A and B- // required to compute the block sub-matrix- for (int a = aBegin, b = bBegin;- a <= aEnd;- a += aStep, b += bStep) {-- // Declaration of the shared memory array As used to- // store the sub-matrix of A- __shared__ float As[BLOCK_SIZE][BLOCK_SIZE];-- // Declaration of the shared memory array Bs used to- // store the sub-matrix of B- __shared__ float Bs[BLOCK_SIZE][BLOCK_SIZE];-- // Load the matrices from device memory- // to shared memory; each thread loads- // one element of each matrix- AS(ty, tx) = A[a + wA * ty + tx];- BS(ty, tx) = B[b + wB * ty + tx];-- // Synchronize to make sure the matrices are loaded- __syncthreads();-- // Multiply the two matrices together;- // each thread computes one element- // of the block sub-matrix- for (int k = 0; k < BLOCK_SIZE; ++k)- Csub += AS(ty, k) * BS(k, tx);-- // Synchronize to make sure that the preceding- // computation is done before loading two new- // sub-matrices of A and B in the next iteration- __syncthreads();- }-- // Write the block sub-matrix to device memory;- // each thread writes one element- int c = wB * BLOCK_SIZE * by + BLOCK_SIZE * bx;- C[c + wB * ty + tx] = Csub;-}--#endif // #ifndef _MATRIXMUL_KERNEL_H_
− examples/src/matrixMul/matrix_mul.h
@@ -1,33 +0,0 @@-/*- * Copyright 1993-2009 NVIDIA Corporation. All rights reserved.- *- * NVIDIA Corporation and its licensors retain all intellectual property and - * proprietary rights in and to this software and related documentation. - * Any use, reproduction, disclosure, or distribution of this software - * and related documentation without an express license agreement from- * NVIDIA Corporation is strictly prohibited.- *- * Please refer to the applicable NVIDIA end user license agreement (EULA) - * associated with this source code for terms and conditions that govern - * your use of this NVIDIA software.- * - */--#ifndef _MATRIXMUL_H_-#define _MATRIXMUL_H_--/* Thread block size */-#define BLOCK_SIZE 16--/* Matrix dimensions- * (chosen as multiples of the thread block size for simplicity)- */-#define WA (3 * BLOCK_SIZE) /* Matrix A width */-#define HA (5 * BLOCK_SIZE) /* Matrix A height */-#define WB (8 * BLOCK_SIZE) /* Matrix B width */-#define HB WA /* Matrix B height */-#define WC WB /* Matrix C width */-#define HC HA /* Matrix C height */--#endif /* _MATRIXMUL_H_ */-
− examples/src/matrixMulDrv/LICENSE
@@ -1,187 +0,0 @@-NVIDIA Corporation GPU COMPUTING SDK END USER LICENSE AGREEMENT ("Agreement")--BY DOWNLOADING THE SOFTWARE AND OTHER AVAILABLE MATERIALS, YOU ("DEVELOPER")-AGREE TO BE BOUND BY THE FOLLOWING TERMS AND CONDITIONS OF THIS AGREEMENT. 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− examples/src/matrixMulDrv/Makefile
@@ -1,18 +0,0 @@-#-# Baking!-#--# -------------------------------------------------------------------------------# Input files-# -------------------------------------------------------------------------------EXECUTABLE := matrixMulDrv--HSMAIN := MatrixMul.hs-PTXFILES := matrix_mul.cu--USEDRVAPI := 1--# -------------------------------------------------------------------------------# Haskell/CUDA build system-# -------------------------------------------------------------------------------include ../../common/common.mk
− examples/src/matrixMulDrv/MatrixMul.hs
@@ -1,155 +0,0 @@-{-# LANGUAGE CPP #-}--------------------------------------------------------------------------------------- Module : MatrixMul--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Matrix multiplication using driver interface--------------------------------------------------------------------------------------module Main where--#include "matrix_mul.h"---- Friends-import RandomVector---- System-import Numeric-import Data.Array-import Control.Exception-import Data.Array.Storable-import Foreign.Storable-import qualified Data.ByteString.Char8 as B-import qualified Foreign.CUDA.Driver as CUDA----- Return the (width,height) of a matrix----getSize :: Storable e => Matrix e -> IO (Int,Int)-getSize mat = do- ((li,lj),(ui,uj)) <- getBounds mat- return (rangeSize (lj,uj), rangeSize (li,ui))------------------------------------------------------------------------------------- Reference implementation-----------------------------------------------------------------------------------matMult :: (Num e, Storable e) => Matrix e -> Matrix e -> IO (Matrix e)-matMult mx my = do- x <- unsafeFreeze mx- y <- unsafeFreeze my- let ((li, lj), (ui, uj)) = bounds x- ((li',lj'),(ui',uj')) = bounds y- resBnds | (lj,uj) == (li',ui') = ((li,lj'),(ui,uj'))- | otherwise = error "matrix dimensions must agree"-- newListArray resBnds [sum [x!(i,k) * y!(k,j) | k <- range (lj,uj)]- | i <- range (li,ui)- , j <- range (lj',uj') ]-------------------------------------------------------------------------------------- CUDA---------------------------------------------------------------------------------------- Initialise the device and context. Load the PTX source code, and return a--- reference to the kernel function.----initCUDA :: IO (CUDA.Context, CUDA.Fun)-initCUDA = do- CUDA.initialise []- dev <- CUDA.device 0- ctx <- CUDA.create dev []- ptx <- B.readFile "data/matrix_mul.ptx"- (mdl,r) <- CUDA.loadDataEx ptx [CUDA.ThreadsPerBlock (BLOCK_SIZE*BLOCK_SIZE)]- fun <- CUDA.getFun mdl "matrixMul"-- putStrLn $ ">> PTX JIT compilation (" ++ showFFloat (Just 2) (CUDA.jitTime r) " ms)"- B.putStrLn (CUDA.jitInfoLog r)- return (ctx,fun)-------- Allocate some memory, and copy over the input data to the device. Should--- probably catch allocation exceptions individually...----initData :: (Num e, Storable e)- => Matrix e -> Matrix e -> IO (CUDA.DevicePtr e, CUDA.DevicePtr e, CUDA.DevicePtr e)-initData xs ys = do- (wx,hx) <- getSize xs- (wy,hy) <- getSize ys- dxs <- CUDA.mallocArray (wx*hx)- dys <- CUDA.mallocArray (wy*hy)- res <- CUDA.mallocArray (wy*hx)-- flip onException (mapM_ CUDA.free [dxs,dys,res]) $ do- withMatrix xs $ \p -> CUDA.pokeArray (wx*hx) p dxs- withMatrix ys $ \p -> CUDA.pokeArray (wy*hy) p dys- return (dxs, dys, res)-------- Run the test----testCUDA :: (Num e, Storable e) => Matrix e -> Matrix e -> IO (Matrix e)-testCUDA xs' ys' = doTest undefined xs' ys'- where- doTest :: (Num e', Storable e') => e' -> Matrix e' -> Matrix e' -> IO (Matrix e')- doTest dummy xs ys = do- (widthX,heightX) <- getSize xs- (widthY,_) <- getSize ys- ((li, lj), (ui, uj)) <- getBounds xs- ((li',lj'),(ui',uj')) <- getBounds ys- let resBnds | (lj,uj) == (li',ui') = ((li,lj'),(ui,uj'))- | otherwise = error "matrix dimensions must agree"-- -- Initialise environment and copy over test data- --- putStrLn ">> Initialising"- bracket initCUDA (\(ctx,_) -> CUDA.destroy ctx) $ \(_,matMul) -> do-- -- Ensure we release the memory, even if there was an error- --- putStrLn ">> Executing"- bracket- (initData xs ys)- (\(dx,dy,dz) -> mapM_ CUDA.free [dx,dy,dz]) $- \(dx,dy,dz) -> do- -- Repeat test many times...- --- CUDA.setParams matMul [CUDA.VArg dx, CUDA.VArg dy, CUDA.VArg dz, CUDA.IArg widthX, CUDA.IArg widthY]- CUDA.setBlockShape matMul (BLOCK_SIZE,BLOCK_SIZE,1)- CUDA.setSharedSize matMul (fromIntegral (2 * BLOCK_SIZE * BLOCK_SIZE * sizeOf dummy))- CUDA.launch matMul (widthY `div` BLOCK_SIZE, heightX `div` BLOCK_SIZE) Nothing- CUDA.sync-- -- Copy back result- --- zs <- newArray_ resBnds- withMatrix zs $ \p -> CUDA.peekArray (widthY*heightX) dz p- return zs-------------------------------------------------------------------------------------- Test & Verify-----------------------------------------------------------------------------------main :: IO ()-main = do- putStrLn "== Generating random matrices"- xs <- randomArr ((1,1),(8*BLOCK_SIZE, 4*BLOCK_SIZE)) :: IO (Matrix Float)- ys <- randomArr ((1,1),(4*BLOCK_SIZE,12*BLOCK_SIZE)) :: IO (Matrix Float)-- putStrLn "== Generating reference solution"- ref <- matMult xs ys-- putStrLn "== Testing CUDA"- mat <- testCUDA xs ys-- putStr "== Validating: "- verify ref mat >>= \rv -> putStrLn $ if rv then "Ok!" else "INVALID!"-
− examples/src/matrixMulDrv/matrix_mul.cu
@@ -1,110 +0,0 @@-/*- * Copyright 1993-2009 NVIDIA Corporation. All rights reserved.- *- * NVIDIA Corporation and its licensors retain all intellectual property and - * proprietary rights in and to this software and related documentation. - * Any use, reproduction, disclosure, or distribution of this software - * and related documentation without an express license agreement from- * NVIDIA Corporation is strictly prohibited.- *- * Please refer to the applicable NVIDIA end user license agreement (EULA) - * associated with this source code for terms and conditions that govern - * your use of this NVIDIA software.- * - */--/* Matrix multiplication: C = A * B.- * Device code.- */--#ifndef _MATRIXMUL_KERNEL_H_-#define _MATRIXMUL_KERNEL_H_--#include <stdio.h>-#include "matrix_mul.h"--#define CHECK_BANK_CONFLICTS 0-#if CHECK_BANK_CONFLICTS-#define AS(i, j) cutilBankChecker(((float*)&As[0][0]), (BLOCK_SIZE * i + j))-#define BS(i, j) cutilBankChecker(((float*)&Bs[0][0]), (BLOCK_SIZE * i + j))-#else-#define AS(i, j) As[i][j]-#define BS(i, j) Bs[i][j]-#endif--////////////////////////////////////////////////////////////////////////////////-//! Matrix multiplication on the device: C = A * B-//! wA is A's width and wB is B's width-////////////////////////////////////////////////////////////////////////////////-extern "C" __global__ void-matrixMul(float* A, float* B, float* C, int wA, int wB)-{- // Block index- int bx = blockIdx.x;- int by = blockIdx.y;-- // Thread index- int tx = threadIdx.x;- int ty = threadIdx.y;-- // Index of the first sub-matrix of A processed by the block- int aBegin = wA * BLOCK_SIZE * by;-- // Index of the last sub-matrix of A processed by the block- int aEnd = aBegin + wA - 1;-- // Step size used to iterate through the sub-matrices of A- int aStep = BLOCK_SIZE;-- // Index of the first sub-matrix of B processed by the block- int bBegin = BLOCK_SIZE * bx;-- // Step size used to iterate through the sub-matrices of B- int bStep = BLOCK_SIZE * wB;-- // Csub is used to store the element of the block sub-matrix- // that is computed by the thread- float Csub = 0;-- // Loop over all the sub-matrices of A and B- // required to compute the block sub-matrix- for (int a = aBegin, b = bBegin;- a <= aEnd;- a += aStep, b += bStep) {-- // Declaration of the shared memory array As used to- // store the sub-matrix of A- __shared__ float As[BLOCK_SIZE][BLOCK_SIZE];-- // Declaration of the shared memory array Bs used to- // store the sub-matrix of B- __shared__ float Bs[BLOCK_SIZE][BLOCK_SIZE];-- // Load the matrices from device memory- // to shared memory; each thread loads- // one element of each matrix- AS(ty, tx) = A[a + wA * ty + tx];- BS(ty, tx) = B[b + wB * ty + tx];-- // Synchronize to make sure the matrices are loaded- __syncthreads();-- // Multiply the two matrices together;- // each thread computes one element- // of the block sub-matrix- for (int k = 0; k < BLOCK_SIZE; ++k)- Csub += AS(ty, k) * BS(k, tx);-- // Synchronize to make sure that the preceding- // computation is done before loading two new- // sub-matrices of A and B in the next iteration- __syncthreads();- }-- // Write the block sub-matrix to device memory;- // each thread writes one element- int c = wB * BLOCK_SIZE * by + BLOCK_SIZE * bx;- C[c + wB * ty + tx] = Csub;-}--#endif // #ifndef _MATRIXMUL_KERNEL_H_
− examples/src/matrixMulDrv/matrix_mul.h
@@ -1,33 +0,0 @@-/*- * Copyright 1993-2009 NVIDIA Corporation. All rights reserved.- *- * NVIDIA Corporation and its licensors retain all intellectual property and - * proprietary rights in and to this software and related documentation. - * Any use, reproduction, disclosure, or distribution of this software - * and related documentation without an express license agreement from- * NVIDIA Corporation is strictly prohibited.- *- * Please refer to the applicable NVIDIA end user license agreement (EULA) - * associated with this source code for terms and conditions that govern - * your use of this NVIDIA software.- * - */--#ifndef _MATRIXMUL_H_-#define _MATRIXMUL_H_--/* Thread block size */-#define BLOCK_SIZE 16--/* Matrix dimensions- * (chosen as multiples of the thread block size for simplicity)- */-#define WA (3 * BLOCK_SIZE) /* Matrix A width */-#define HA (5 * BLOCK_SIZE) /* Matrix A height */-#define WB (8 * BLOCK_SIZE) /* Matrix B width */-#define HB WA /* Matrix B height */-#define WC WB /* Matrix C width */-#define HC HA /* Matrix C height */--#endif /* _MATRIXMUL_H_ */-
− examples/src/scan/Makefile
@@ -1,18 +0,0 @@-#-# Baking!-#--# -------------------------------------------------------------------------------# Input files-# -------------------------------------------------------------------------------EXECUTABLE := scan--HSMAIN := Scan.chs-CUFILES := scan.cu--EXTRALIBS := stdc++--# -------------------------------------------------------------------------------# Haskell/CUDA build system-# -------------------------------------------------------------------------------include ../../common/common.mk
− examples/src/scan/Scan.chs
@@ -1,112 +0,0 @@-{-# LANGUAGE ForeignFunctionInterface #-}--------------------------------------------------------------------------------------- Module : Scan--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Apply a binary operator to an array similar to 'fold', but return a--- successive list of values reduced from the left (or right).--------------------------------------------------------------------------------------module Main where--#include "scan.h"---- Friends-import C2HS hiding (newArray)-import Time-import RandomVector---- System-import Control.Monad-import Control.Exception-import qualified Foreign.CUDA as CUDA-------------------------------------------------------------------------------------- Reference-----------------------------------------------------------------------------------scanList :: (Num e, Storable e) => Vector e -> IO (Vector e)-scanList xs = do- bnds <- getBounds xs- xs' <- getElems xs- (t,zs') <- benchmark 100 (return (scanl1 (+) xs')) (return ())- putStrLn $ "List: " ++ shows (fromInteger (timeIn millisecond t`div`100)::Float) " ms"- newListArray bnds zs'---scanArr :: (Num e, Storable e) => Vector e -> IO (Vector e)-scanArr xs = do- bnds <- getBounds xs- zs <- newArray_ bnds- let idx = range bnds- (t,_) <- benchmark 100 (foldM_ (k zs) 0 idx) (return ())- putStrLn $ "Array: " ++ shows (fromInteger (timeIn millisecond t)/100::Float) " ms"- return zs- where- k zs a i = do- x <- readArray xs i- let z = x+a- writeArray zs i z- return z-------------------------------------------------------------------------------------- CUDA---------------------------------------------------------------------------------------- Include the time to copy the data to/from the storable array (significantly--- faster than from a Haskell list)----scanCUDA :: Vector Float -> IO (Vector Float)-scanCUDA xs = do- bnds <- getBounds xs- zs <- newArray_ bnds- let len = rangeSize bnds- CUDA.allocaArray len $ \d_xs -> do- CUDA.allocaArray len $ \d_zs -> do- (t,_) <- flip (benchmark 100) CUDA.sync $ do- withVector xs $ \p -> CUDA.pokeArray len p d_xs- scanl1_plusf d_xs d_zs len- withVector zs $ \p -> CUDA.peekArray len d_zs p- putStrLn $ "CUDA: " ++ shows (fromInteger (timeIn millisecond t)/100::Float) " ms (with copy)"-- (t',_) <- benchmark 100 (scanl1_plusf d_xs d_zs len) CUDA.sync- putStrLn $ "CUDA: " ++ shows (fromInteger (timeIn millisecond t')/100::Float) " ms (compute only)"-- return zs--{# fun unsafe scanl1_plusf- { withDP* `CUDA.DevicePtr Float'- , withDP* `CUDA.DevicePtr Float'- , `Int'- } -> `()' #}- where- withDP p a = CUDA.withDevicePtr p $ \p' -> a (castPtr p')-------------------------------------------------------------------------------------- Main-----------------------------------------------------------------------------------main :: IO ()-main = do- dev <- CUDA.get- props <- CUDA.props dev- putStrLn $ "Using device " ++ show dev ++ ": " ++ CUDA.deviceName props-- arr <- randomArr (1,100000) :: IO (Vector Float)- ref <- scanList arr- ref' <- scanArr arr- cuda <- scanCUDA arr-- return ()-- putStr "== Validating: "- verify ref ref' >>= \rv -> assert rv (return ())- verify ref cuda >>= \rv -> putStrLn $ if rv then "Ok!" else "INVALID!"-
− examples/src/scan/scan.cu
@@ -1,204 +0,0 @@-/* ------------------------------------------------------------------------------ *- * Module : Scan- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- * ---------------------------------------------------------------------------*/--#include "scan.h"--#include "utils.h"-#include "operator.h"-#include "cudpp/cudpp_globals.h"-#include "cudpp/scan_kernel.cu"-#include "cudpp/vector_kernel.cu"--template <typename T>-struct scan_plan-{- T **block_sums;- size_t num_levels;-};--static inline unsigned int-calc_num_blocks(unsigned int N)-{- return max(1u, (unsigned int)ceil((double)N / (SCAN_ELTS_PER_THREAD * CTA_SIZE)));-}---/*- * This is the CPU-side workhorse of the scan operation, invoking the kernel on- * each of the reduction blocks.- */-template <class op, typename T, bool backward, bool exclusive>-static void-scan_recursive-(- const T *in,- T *out,- scan_plan<T> *plan,- int N,- int level-)-{- size_t num_blocks = calc_num_blocks(N);- bool is_full = N == num_blocks * SCAN_ELTS_PER_THREAD * CTA_SIZE;-- dim3 grid(num_blocks, 1, 1);- dim3 block(CTA_SIZE, 1, 1);- size_t smem = sizeof(T) * CTA_SIZE * 2;--#define MULTIBLOCK 0x01-#define FULLBLOCK 0x04- int traits = 0;- if (num_blocks > 1) traits |= MULTIBLOCK;- if (is_full) traits |= FULLBLOCK;-- /*- * Set up execution parameters, and execute the scan- */- switch (traits)- {- case 0:- scan4- < T, ScanTraits<T, op, backward, exclusive, false, false, false> >- <<<grid, block, smem>>>(out, in, NULL, N, 1, 1);- break;-- case MULTIBLOCK:- scan4- < T, ScanTraits<T, op, backward, exclusive, false, true, false> >- <<<grid, block, smem>>>(out, in, plan->block_sums[level], N, 1, 1);- break;-- case FULLBLOCK:- scan4- < T, ScanTraits<T, op, backward, exclusive, false, false, true> >- <<<grid, block, smem>>>(out, in, NULL, N, 1, 1);- break;-- case MULTIBLOCK | FULLBLOCK:- scan4- < T, ScanTraits<T, op, backward, exclusive, false, true, true> >- <<<grid, block, smem>>>(out, in, plan->block_sums[level], N, 1, 1);- break;-- default:- assert(!"Non-exhaustive patterns in match");- }-- /*- * After scanning the sub-blocks, we now need to combine those results by- * taking the last value from each sub-block, and adding that to each of the- * successive blocks (i.e. scan across the sub-computations)- */- if (num_blocks > 1)- {- T *sums = plan->block_sums[level];-- scan_recursive- <op, T, backward, true>- (sums, sums, plan, num_blocks, level+1);-- vectorAddUniform4- <T, op, SCAN_ELTS_PER_THREAD>- <<<grid,block>>>- (out, sums, N, 4, 4, 0, 0);- }--#undef MULTIBLOCK-#undef FULLBLOCK-}---/*- * Allocate temporary memory used by the scan.- */-template <typename T>-static void-scan_init(int N, scan_plan<T> *plan)-{- size_t level = 0;- size_t elements = N;- size_t num_blocks;-- /*- * Determine how many intermediate block-level summations will be required- */- for (elements = N; elements > 1; elements = num_blocks)- {- num_blocks = calc_num_blocks(elements);-- if (num_blocks > 1)- ++level;- }-- plan->block_sums = (T**) malloc(level * sizeof(T*));- plan->num_levels = level;-- /*- * Now, allocate the necessary storage at each level- */- for (elements = N, level = 0; elements > 1; elements = num_blocks, level++)- {- num_blocks = calc_num_blocks(elements);-- if (num_blocks > 1)- cudaMalloc((void**) &plan->block_sums[level], num_blocks * sizeof(T));- }-}---/*- * Clean up temporary memory used by the scan- */-template <typename T>-static void-scan_finalise(scan_plan<T> *p)-{- for (size_t l = 0; l < p->num_levels; ++l)- cudaFree(p->block_sums[l]);-- free(p->block_sums);-}---/*- * Apply a binary operator to an array similar to `fold', but return a- * successive list of values reduced from the left. The reduction will take- * place in parallel, so the operator must be associative.- */-template <class op, typename T, bool backward, bool exclusive>-void-scan-(- const T *in,- T *out,- int length-)-{- scan_plan<T> plan;- scan_init<T>(length, &plan);-- scan_recursive<op, T, backward, exclusive>(in, out, &plan, length, 0);-- scan_finalise<T>(&plan);-}---// ------------------------------------------------------------------------------// Instances-// -------------------------------------------------------------------------------void scanl_plusf(float *in, float *out, int N)-{- scan< Plus<float>, float, false, true >(in, out, N);-}--void scanl1_plusf(float *in, float *out, int N)-{- scan< Plus<float>, float, false, false >(in, out, N);-}-
− examples/src/scan/scan.h
@@ -1,26 +0,0 @@-/* ------------------------------------------------------------------------------ *- * Module : Scan- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- * ---------------------------------------------------------------------------*/--#ifndef __SCAN_H__-#define __SCAN_H__--#ifdef __cplusplus-extern "C" {-#endif--/*- * Instances- */-void scanl_plusf(float *in, float *out, int N);-void scanl1_plusf(float *in, float *out, int N);---#ifdef __cplusplus-}-#endif-#endif
− examples/src/simpleTexture/Makefile
@@ -1,18 +0,0 @@-#-# Baking!-#--# -------------------------------------------------------------------------------# Input files-# -------------------------------------------------------------------------------EXECUTABLE := simpleTexture--HSMAIN := SimpleTexture.hs-CUFILES := simpleTexture.cu--EXTRALIBS := stdc++--# -------------------------------------------------------------------------------# Haskell/CUDA build system-# -------------------------------------------------------------------------------include ../../common/common.mk
− examples/src/simpleTexture/SimpleTexture.hs
@@ -1,68 +0,0 @@-{-# LANGUAGE ParallelListComp #-}--------------------------------------------------------------------------------------- Module : SimpleTexture--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Demonstrates texture references. Takes an input PGM file and generates an--- output that has been rotated. The kernel performs a simple 2D transformation--- on the texture coordinates (u,v).--------------------------------------------------------------------------------------module Main where--import Data.Array.Unboxed-import Graphics.Pgm-import qualified Foreign.CUDA as CUDA-import qualified Foreign.CUDA.Runtime.Texture as CUDA---imageFile, outputFile, referenceFile :: FilePath-imageFile = "data/lena_bw.pgm"-outputFile = "data/lena_bw_out.pgm"-referenceFile = "data/ref_rotated.pgm"--rotation :: Float-rotation = 0.5 -- radians---main :: IO ()-main = do- img <- either (error . show) head `fmap` pgmsFromFile imageFile- ref <- either (error . show) head `fmap` pgmsFromFile referenceFile- runTest img ref---runTest :: UArray (Int,Int) Int -> UArray (Int,Int) Int -> IO ()-runTest img ref' = do- rotated <- transform (amap (\x-> fromIntegral x/255) img)- arrayToFile outputFile (amap (\x -> round (x*255)) rotated)- if verify (elems ref) (elems rotated)- then putStrLn "PASSED"- else putStrLn "FAILED!"-- where- ref = amap (\x -> fromIntegral x / 255) ref'- verify xs ys = all (< epsilon) [abs ((x-y)/(x+y+epsilon)) | x <- xs | y <- ys]- epsilon = 0.05---transform :: UArray (Int,Int) Float -> IO (UArray (Int,Int) Float)-transform pgm =- let bnds@((x0,y0),(x1,y1)) = bounds pgm- width = x1-x0+1- height = y1-y0+1- desc = CUDA.FormatDesc (32,0,0,0) CUDA.Float- texture = CUDA.Texture True CUDA.Linear (CUDA.Wrap,CUDA.Wrap,CUDA.Wrap) desc- in- CUDA.allocaArray (width * height) $ \d_out ->- CUDA.withListArray (elems pgm) $ \d_tex -> do- CUDA.bind2D "tex" texture d_tex (width,height) (fromIntegral $ height * 4)- CUDA.setConfig (width `div` 8,height `div` 8) (8,8,1) 0 Nothing- CUDA.setParams [CUDA.VArg d_out, CUDA.IArg width, CUDA.IArg height, CUDA.FArg rotation]- CUDA.launch "transformKernel"-- listArray bnds `fmap` CUDA.peekListArray (width*height) d_out-
− examples/src/simpleTexture/data/lena_bw.pgm
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− examples/src/simpleTexture/data/ref_rotated.pgm
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− examples/src/simpleTexture/simpleTexture.cu
@@ -1,47 +0,0 @@-/*- * Copyright 1993-2010 NVIDIA Corporation. All rights reserved.- *- * NVIDIA Corporation and its licensors retain all intellectual property and- * proprietary rights in and to this software and related documentation.- * Any use, reproduction, disclosure, or distribution of this software- * and related documentation without an express license agreement from- * NVIDIA Corporation is strictly prohibited.- *- * Please refer to the applicable NVIDIA end user license agreement (EULA)- * associated with this source code for terms and conditions that govern- * your use of this NVIDIA software.- *- */--#ifndef _SIMPLETEXTURE_KERNEL_H_-#define _SIMPLETEXTURE_KERNEL_H_--// declare texture reference for 2D float texture-texture<float, 2, cudaReadModeElementType> tex;--////////////////////////////////////////////////////////////////////////////////-//! Transform an image using texture lookups-//! @param g_odata output data in global memory-////////////////////////////////////////////////////////////////////////////////-extern "C"-__global__ void-transformKernel( float* g_odata, int width, int height, float theta)-{- // calculate normalized texture coordinates- unsigned int x = blockIdx.x*blockDim.x + threadIdx.x;- unsigned int y = blockIdx.y*blockDim.y + threadIdx.y;-- float u = x / (float) width;- float v = y / (float) height;-- // transform coordinates- u -= 0.5f;- v -= 0.5f;- float tu = u*cosf(theta) - v*sinf(theta) + 0.5f;- float tv = v*cosf(theta) + u*sinf(theta) + 0.5f;-- // read from texture and write to global memory- g_odata[y*width + x] = tex2D(tex, tu, tv);-}--#endif // #ifndef _SIMPLETEXTURE_KERNEL_H_
− examples/src/smvm/Makefile
@@ -1,20 +0,0 @@-#-# Baking!-#--# -------------------------------------------------------------------------------# Input files-# -------------------------------------------------------------------------------EXECUTABLE := smvm--HSMAIN := SMVM.chs-CUFILES := smvm-csr.cu \- smvm-cudpp.cu--USECUDPP := 1-EXTRALIBS := stdc++--# -------------------------------------------------------------------------------# Haskell/CUDA build system-# -------------------------------------------------------------------------------include ../../common/common.mk
− examples/src/smvm/SMVM.chs
@@ -1,201 +0,0 @@-{-# LANGUAGE ForeignFunctionInterface #-}--------------------------------------------------------------------------------------- Module : SMVM--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Sparse-matrix dense-vector multiplication--------------------------------------------------------------------------------------module Main where--#include "smvm.h"---- Friends-import Time-import C2HS-import RandomVector (randomList,randomListR,verifyList)---- System-import Numeric-import Data.List-import Control.Monad-import Control.Applicative-import System.Random-import Foreign.CUDA (withDevicePtr)-import qualified Foreign.CUDA as CUDA------- A very simple sparse-matrix / vector representation--- (confusingly, different from that in RandomVector and used elsewhere)----type Vector e = [e]-type SparseVector e = [(Int,e)]-type SparseMatrix e = [SparseVector e]------------------------------------------------------------------------------------- Reference-----------------------------------------------------------------------------------smvm :: Num e => SparseMatrix e -> Vector e -> Vector e-smvm sm v = [ sum [ x * (v!!col) | (col,x) <- sv ] | sv <- sm ]------------------------------------------------------------------------------------- CUDA---------------------------------------------------------------------------------------- Sparse-matrix vector multiplication, using compressed-sparse row format.------ Lots of boilerplate to copy data to the device. Our simple list--- representation has atrocious copy performance (see the `bandwidthTest'--- example), so don't include that in the benchmarking----smvm_csr :: SparseMatrix Float -> Vector Float -> IO (Float, Vector Float)-smvm_csr sm v =- let matData = concatMap (map cFloatConv . snd . unzip) sm- colIdx = concatMap (map cIntConv . fst . unzip) sm- rowPtr = scanl (+) 0 (map (cIntConv . length) sm)- v' = map cFloatConv v-#ifdef __DEVICE_EMULATION__- iters = 1-#else- iters = 100-#endif- in- CUDA.withListArray matData $ \d_data ->- CUDA.withListArray rowPtr $ \d_ptr ->- CUDA.withListArray colIdx $ \d_indices ->- CUDA.withListArrayLen v' $ \num_rows d_x ->- CUDA.allocaArray num_rows $ \d_y -> do- (t,_) <- benchmark iters (smvm_csr_f d_y d_x d_data d_ptr d_indices num_rows) CUDA.sync- y <- map cFloatConv <$> CUDA.peekListArray num_rows d_y- return (fromInteger (timeIn millisecond t) / fromIntegral iters, y)---{# fun unsafe smvm_csr_f- { withDevicePtr* `CUDA.DevicePtr CFloat'- , withDevicePtr* `CUDA.DevicePtr CFloat'- , withDevicePtr* `CUDA.DevicePtr CFloat'- , withDevicePtr* `CUDA.DevicePtr CUInt'- , withDevicePtr* `CUDA.DevicePtr CUInt'- , `Int' } -> `()' #}-------- Sparse-matrix vector multiplication from CUDPP----smvm_cudpp :: SparseMatrix Float -> Vector Float -> IO (Float, Vector Float)-smvm_cudpp sm v =- let matData = concatMap (map cFloatConv . snd . unzip) sm- colIdx = concatMap (map cIntConv . fst . unzip) sm- rowPtr = scanl (+) 0 (map (cIntConv . length) sm)- v' = map cFloatConv v-#ifdef __DEVICE_EMULATION__- iters = 1-#else- iters = 100-#endif- in- CUDA.withListArrayLen v' $ \num_rows d_x ->- CUDA.allocaArray num_rows $ \d_y ->- withArrayLen matData $ \num_nonzeros h_data ->- withArray rowPtr $ \h_rowPtr ->- withArray colIdx $ \h_colIdx -> do- (t,_) <- benchmark iters (smvm_cudpp_f d_y d_x h_data h_rowPtr h_colIdx num_rows num_nonzeros) CUDA.sync- y <- map cFloatConv <$> CUDA.peekListArray num_rows d_y- return (fromInteger (timeIn millisecond t) / fromIntegral iters, y)--{# fun unsafe smvm_cudpp_f- { withDevicePtr* `CUDA.DevicePtr CFloat'- , withDevicePtr* `CUDA.DevicePtr CFloat'- , id `Ptr CFloat'- , id `Ptr CUInt'- , id `Ptr CUInt'- , `Int'- , `Int' } -> `()' #}-------------------------------------------------------------------------------------- Main---------------------------------------------------------------------------------------- Generate random matrices----sparseMat :: (Num e, Random e, Storable e) => (Int,Int) -> (Int,Int) -> IO (SparseMatrix e)-sparseMat bnds (h,w) = replicateM h sparseVec- where- sparseVec = do- nz <- randomRIO bnds -- number of non-zero elements- idx <- nub . sort <$> randomListR nz (0,w-1) -- remove duplicate column indices- zip idx <$> randomList (length idx) -- (column indices don't actually need to be sorted)--denseMat :: (Num e, Random e, Storable e) => (Int,Int) -> IO (SparseMatrix e)-denseMat (h,w) = replicateM h (zip [0..] <$> randomList w)------- Some test-harness utilities----stats :: (Floating a, Ord a) => [a] -> (a,a,a,a,a,a)-stats (x:xs) = finish . foldl' stats' (x,x,x,x*x,1) $ xs- where- stats' (mn,mx,s,ss,n) v = (min v mn, max v mx, s+v, ss+v*v, n+1)- finish (mn,mx,s,ss,n) = (mn, mx, av, var, stdev, n)- where av = s/n- var = (1/(n-1))*ss - (n/(n-1))*av*av- stdev = sqrt var---testAlgorithm :: (Num e, Ord e, Floating e)- => String -- name of the algorithm- -> (SparseMatrix e -> Vector e -> IO (Float, Vector e)) -- return time (ms), and result- -> SparseMatrix e -- input matrix- -> Vector e -- input vector- -> Vector e -- reference solution- -> IO ()-testAlgorithm name f m v ref = do- putStr name- (t,y) <- f m v- putStr $ if verifyList ref y then "Ok! " else "INVALID! "- putStr $ "( " ++ showFFloat (Just 2) t " ms, "- putStrLn $ showFFloat (Just 2) (fromIntegral (2 * 1000 * sum (map length m)) / (t * 1E9)) " GFLOPS )"---testMatrix :: String -> SparseMatrix Float -> Vector Float -> IO ()-testMatrix name sm v = do- let w = length v- (_,_,av,_,stdev,h) = stats (map (fromIntegral . length) sm)- ref = smvm sm v-- putStr $ name ++ ": " ++ show w ++ "x" ++ show (round h)- putStr $ ", " ++ shows (round (av*h)) " non-zero elements "- putStrLn $ "( " ++ showFFloat (Just 2) av " +/- " ++ showFFloat (Just 2) stdev " )"-- testAlgorithm " smvm-csr: " smvm_csr sm v ref- testAlgorithm " smvm-cudpp: " smvm_cudpp sm v ref- putStrLn ""-------- Finally, the main function----main :: IO ()-main = do- dev <- CUDA.get- props <- CUDA.props dev- putStrLn $ "Using device " ++ show dev ++ ": \"" ++ CUDA.deviceName props ++ "\""- putStrLn $ " Compute capability: " ++ show (CUDA.computeCapability props)- putStrLn $ " Total global memory: " ++- showFFloat (Just 2) (fromIntegral (CUDA.totalGlobalMem props) / (1024*1024) :: Double) " GB\n"-- v1 <- randomList 512- v2 <- randomList 2048- m1 <- denseMat (512,512)- m2 <- sparseMat (20,200) (20 * 2048,2048)-- testMatrix "Dense Matrix" m1 v1- testMatrix "Sparse Matrix" m2 v2-
− examples/src/smvm/smvm-csr.cu
@@ -1,246 +0,0 @@-/*- * Copyright 2008-2009 NVIDIA Corporation- *- * Licensed under the Apache License, Version 2.0 (the "License");- * you may not use this file except in compliance with the License.- * You may obtain a copy of the License at- *- * http://www.apache.org/licenses/LICENSE-2.0- *- * Unless required by applicable law or agreed to in writing, software- * distributed under the License is distributed on an "AS IS" BASIS,- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.- * See the License for the specific language governing permissions and- * limitations under the License.- */---#include "smvm.h"-#include "utils.h"-#include "texture.h"---/* ------------------------------------------------------------------------------ * Sparse-matrix dense-vector multiplication, compressed-sparse row format- * ------------------------------------------------------------------------------ *- * Each row of the CSR matrix is assigned to a warp, which computes the dot- * product of the i-th row of A with the x vector, in parallel.- *- * y[i] = A[i,:] * x- *- * This division of work implies that the CSR index and data arrays (Aj and Ax)- * are accessed in a contiguous manner (but generally not aligned). On the GT200- * these accesses are coalesced, unlike kernels based on the one-row-per-thread- * division of work. Since an entire 32-thread warp is assigned to each row,- * many threads will remain idle when their row contains a small number of- * elements. This code relies on implicit synchronization among threads in a- * warp.- *- * Optionally, the texture cache may be used for accessing the x vector. This- * generally shows good improvements.- *- * References:- *- * [1] N. Bell and M. Garland. "Efficient sparse matrix-vector multiplication on- * CUDA." NVIDIA Technical Report NVR-2008-004, NVIDIA Corporation, Dec. 2008.- *- * [2] N. Bell and M. Garland. "Implementing sparse matrix-vector- * multiplication on throughput-oriented processors." In Supercomputing- * `09: Proceedings of the 2009 Conference on High Performance Computing- * Networking, Storage and Analysis, pages 1-11, 2009.- */-template <unsigned int BlockSize, typename T, bool UseCache>-__global__ static void-smvm_k-(- T *d_y,- const T *d_x,- const T *d_Ax,- const unsigned int *d_Ap,- const unsigned int *d_Aj,- const unsigned int num_rows-)-{- /*- * Require at least a full warp for each row. This could be relaxed by- * modifying the cooperative reduction step- */- assert(BlockSize % WARP_SIZE == 0);-- const unsigned int vectorsPerBlock = BlockSize / WARP_SIZE;- const unsigned int num_vectors = vectorsPerBlock * gridDim.x;- const unsigned int thread_id = BlockSize * blockIdx.x + threadIdx.x;- const unsigned int vector_id = thread_id / WARP_SIZE;- const unsigned int thread_lane = threadIdx.x & (WARP_SIZE-1);- const unsigned int vector_lane = threadIdx.x / WARP_SIZE;-- __shared__ volatile T s_data[(vectorsPerBlock+1) * WARP_SIZE];- __shared__ volatile unsigned int s_ptrs[vectorsPerBlock][2];-- for (unsigned int row = vector_id; row < num_rows; row += num_vectors)- {- /*- * Use two threads to fetch the indices of the start and end of this- * segment. This is a single coalesced (although unaligned) global read- * rather than two, and hence considerably faster.- */- if (thread_lane < 2)- s_ptrs[vector_lane][thread_lane] = d_Ap[row + thread_lane];-- __EMUSYNC;- const unsigned int row_start = s_ptrs[vector_lane][0];- const unsigned int row_end = s_ptrs[vector_lane][1];-- /*- * Have the threads read in all values for this row, accumulating local- * dot-product sums. Then, reduce this cooperatively in shared memory.- */- T sum = 0;- for (unsigned int j = row_start + thread_lane; j < row_end; j += WARP_SIZE)- sum += d_Ax[j] * fetch_x<UseCache>(d_Aj[j], d_x);-- s_data[threadIdx.x] = sum; __EMUSYNC;- s_data[threadIdx.x] = sum = sum + s_data[threadIdx.x + 16]; __EMUSYNC;- s_data[threadIdx.x] = sum = sum + s_data[threadIdx.x + 8]; __EMUSYNC;- s_data[threadIdx.x] = sum = sum + s_data[threadIdx.x + 4]; __EMUSYNC;- s_data[threadIdx.x] = sum = sum + s_data[threadIdx.x + 2]; __EMUSYNC;- s_data[threadIdx.x] = sum = sum + s_data[threadIdx.x + 1]; __EMUSYNC;--#if 0- /*- * Alternative method (slightly slower, due to bank conflicts?)- */- s_data[threadIdx.x] += s_data[threadIdx.x + 16];- s_data[threadIdx.x] += s_data[threadIdx.x + 8];- s_data[threadIdx.x] += s_data[threadIdx.x + 4];- s_data[threadIdx.x] += s_data[threadIdx.x + 2];- s_data[threadIdx.x] += s_data[threadIdx.x + 1];-#endif-- /*- * Finally, first thread writes the result for this row- */- if (thread_lane == 0)- d_y[row] = s_data[threadIdx.x];- }-}---template <typename T, bool UseCache>-static void-smvm_dispatch-(- T *d_y,- const T *d_x,- const T *d_data,- const unsigned int *d_ptr,- const unsigned int *d_indices,- const unsigned int num_rows,- const unsigned int blocks,- const unsigned int threads-)-{- const unsigned int smem = 0;-- switch (threads)- {- case 512: smvm_k<512,T,UseCache><<<blocks,threads,smem>>>(d_y, d_x, d_data, d_ptr, d_indices, num_rows); break;- case 256: smvm_k<256,T,UseCache><<<blocks,threads,smem>>>(d_y, d_x, d_data, d_ptr, d_indices, num_rows); break;- case 128: smvm_k<128,T,UseCache><<<blocks,threads,smem>>>(d_y, d_x, d_data, d_ptr, d_indices, num_rows); break;- case 64: smvm_k< 64,T,UseCache><<<blocks,threads,smem>>>(d_y, d_x, d_data, d_ptr, d_indices, num_rows); break;- case 32: smvm_k< 32,T,UseCache><<<blocks,threads,smem>>>(d_y, d_x, d_data, d_ptr, d_indices, num_rows); break;- default:- assert(!"Non-exhaustive patterns in match");- }-}---/*- * Select an "optimal" number of threads and blocks for the problem size. This- * is an act of balancing resource usage: shared memory, registers, in-flight- * threads and blocks per multiprocessor. Ultimately, this requires some- * experimentation for every kernel, device and problem set, but we choose some- * sensible default values.- *- * Additionally, each block will have at least one full warp, as required by the- * core kernel.- */-static void-smvm_control-(- unsigned int n,- unsigned int &blocks,- unsigned int &threads,- unsigned int maxThreads = MAX_THREADS,- unsigned int maxBlocks = MAX_BLOCKS--)-{- threads = (n < maxThreads) ? max(WARP_SIZE, ceilPow2(n)) : maxThreads;- blocks = (n + threads - 1) / threads;- blocks = min(blocks, maxBlocks);-}---/*- * Sparse matrix multiplication:- * y = A * x- *- * The CSR format explicitly stores column indices (indices) and non-zero values- * (data) in row-major order, together with a third array of row pointers (ptr).- * For an M-by-N matrix, ptr has length (M+1) and stores the offset to the start- * of the i-th row in ptr[i]. The last entry then, corresponding to the (M+1)-st- * row, contains the number of non-zero elements in the matrix.- *- * Example:- * | 1 7 0 0 |- * A = | 0 2 8 0 |- * | 5 0 3 9 |- * | 0 6 0 4 |- *- * ptr = [ 0 2 4 7 9 ]- * indices = [ 0 1 1 2 0 2 3 1 3 ]- * data = [ 1 7 2 8 5 3 9 6 4 ]- *- * d_y The output vector- * d_x The input (dense) vector to multiply against- * d_data The non-zero elements of the sparse, stored row-major order- * d_ptr Row offsets- * d_indices Column indices- */-template <typename T, bool UseCache>-static void-smvm_csr-(- T *d_y,- const T *d_x,- const T *d_data,- const unsigned int *d_ptr,- const unsigned int *d_indices,- const unsigned int num_rows-)-{- unsigned int blocks;- unsigned int threads;-- if (UseCache)- bind_x(d_x);-- smvm_control(num_rows, blocks, threads);- smvm_dispatch<T,UseCache>(d_y, d_x, d_data, d_ptr, d_indices, num_rows, blocks, threads);-- if (UseCache)- unbind_x(d_x);-}--/* ------------------------------------------------------------------------------ * Instances- * ---------------------------------------------------------------------------*/--void-smvm_csr_f(float *d_y, float *d_x, float *d_data, unsigned int *d_rowPtr, unsigned int *d_colIdx, unsigned int num_rows)-{- smvm_csr<float,true>(d_y, d_x, d_data, d_rowPtr, d_colIdx, num_rows);-}-
− examples/src/smvm/smvm-cudpp.cu
@@ -1,56 +0,0 @@-/* ------------------------------------------------------------------------------ *- * Module : SMVM- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- * ---------------------------------------------------------------------------*/---#include "smvm.h"-#include <cudpp.h>--template <typename T> CUDPPDatatype getType();-template <> CUDPPDatatype getType<float>() { return CUDPP_FLOAT; }-template <> CUDPPDatatype getType<unsigned int>() { return CUDPP_UINT; }---/*- * Sparse matrix-dense vector multiply. Hook directly into the CUDPP- * implementation.- */-template <typename T>-void smvm_cudpp-(- float *d_y,- const float *d_x,- const float *h_data,- const unsigned int *h_rowPtr,- const unsigned int *h_colIdx,- const unsigned int num_rows,- const unsigned int num_nonzeros-)-{- CUDPPConfiguration cp;- CUDPPHandle sm;-- cp.datatype = getType<T>();- cp.options = 0;- cp.algorithm = CUDPP_SPMVMULT;-- cudppSparseMatrix(&sm, cp, num_nonzeros, num_rows, h_data, h_rowPtr, h_colIdx);- cudppSparseMatrixVectorMultiply(sm, d_y, d_x);-- cudppDestroySparseMatrix(sm);-}---// ------------------------------------------------------------------------------// Instances-// -------------------------------------------------------------------------------void smvm_cudpp_f(float *d_y, float *d_x, float *h_data, unsigned int *h_rowPtr, unsigned int *h_colIdx, unsigned int num_rows, unsigned int num_nonzeros)-{- smvm_cudpp<float>(d_y, d_x, h_data, h_rowPtr, h_colIdx, num_rows, num_nonzeros);-}-
− examples/src/smvm/smvm.h
@@ -1,33 +0,0 @@-/* ------------------------------------------------------------------------------ *- * Module : SMVM- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- * ---------------------------------------------------------------------------*/--#ifndef __SMVM_H__-#define __SMVM_H__--/*- * Optimised for Tesla C1060 (compute 1.3)- * Maximum performance for your card may be achieved with different values.- *- * http://developer.download.nvidia.com/compute/cuda/CUDA_Occupancy_calculator.xls- */-#define MAX_THREADS 128-#define MAX_BLOCKS_PER_SM 8-#define MAX_BLOCKS (MAX_BLOCKS_PER_SM * 30)-#define WARP_SIZE 32--#ifdef __cplusplus-extern "C" {-#endif--void smvm_csr_f(float *d_y, float *d_x, float *d_data, unsigned int *d_rowPtr, unsigned int *d_colIdx, unsigned int num_rows);-void smvm_cudpp_f(float *d_y, float *d_x, float *h_data, unsigned int *h_rowPtr, unsigned int *h_colIdx, unsigned int num_rows, unsigned int num_nonzeros);--#ifdef __cplusplus-}-#endif-#endif
− examples/src/smvm/texture.h
@@ -1,94 +0,0 @@-/*- * Copyright 2008-2009 NVIDIA Corporation- *- * Licensed under the Apache License, Version 2.0 (the "License");- * you may not use this file except in compliance with the License.- * You may obtain a copy of the License at- *- * http://www.apache.org/licenses/LICENSE-2.0- *- * Unless required by applicable law or agreed to in writing, software- * distributed under the License is distributed on an "AS IS" BASIS,- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.- * See the License for the specific language governing permissions and- * limitations under the License.- */---#ifndef __TEXTURE_H__-#define __TEXTURE_H__--#include "utils.h"-#include <cuda_runtime_api.h>--/*- * These textures are (optionally) used to cache the 'x' vector in y += A*x- * Use int2 to pull doubles through texture cache.- */-texture<float,1> tex_x_float;-texture<int2,1> tex_x_double;--inline void-bind_x(const float * x)-{- size_t offset = size_t(-1);-- CUDA_SAFE_CALL(cudaBindTexture(&offset, tex_x_float, x));- if (offset != 0)- assert(!"memory is not aligned, refusing to use texture cache");-}--inline void-bind_x(const double * x)-{- size_t offset = size_t(-1);-- CUDA_SAFE_CALL(cudaBindTexture(&offset, tex_x_double, x));- if (offset != 0)- assert(!"memory is not aligned, refusing to use texture cache");-}--/*- * NOTE: the parameter is unused only to distinguish the two unbind functions- */-inline void-unbind_x(const float *)-{- CUDA_SAFE_CALL(cudaUnbindTexture(tex_x_float));-}--inline void-unbind_x(const double *)-{- CUDA_SAFE_CALL(cudaUnbindTexture(tex_x_double));-}--template <bool UseCache>-__inline__ __device__ float-fetch_x(const int& i, const float * x)-{- if (UseCache) return tex1Dfetch(tex_x_float, i);- else return x[i];-}--#ifndef CUDA_NO_SM_13_DOUBLE_INTRINSICS-template <bool UseCache>-__inline__ __device__ double fetch_x(const int& i, const double * x)-{-#if __CUDA_ARCH__ < 130-#error "double precision require Compute Compatibility 1.3 or greater"-#endif- if (UseCache)- {- int2 v = tex1Dfetch(tex_x_double, i);- return __hiloint2double(v.y, v.x);- }- else- {- return x[i];- }-}-#endif--#endif // __TEXTURE_H__-
− examples/src/sort/Makefile
@@ -1,19 +0,0 @@-#-# Baking!-#--# -------------------------------------------------------------------------------# Input files-# -------------------------------------------------------------------------------EXECUTABLE := sort--HSMAIN := Sort.chs-CUFILES := radix_sort.cu--USECUDPP := 1-EXTRALIBS := stdc++--# -------------------------------------------------------------------------------# Haskell/CUDA build system-# -------------------------------------------------------------------------------include ../../common/common.mk
− examples/src/sort/Sort.chs
@@ -1,98 +0,0 @@-{-# LANGUAGE ForeignFunctionInterface #-}--------------------------------------------------------------------------------------- Module : Sort--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Reduce a vector of (key,value) pairs--------------------------------------------------------------------------------------module Main where--#include "sort.h"--import C2HS-import RandomVector--import Data.Ord-import Data.List-import Control.Monad-import qualified Foreign.CUDA as C--------------------------------------------------------------------------------------- CUDA--test_f :: (Storable a, Eq a) => [(Float,a)] -> IO Bool-test_f kv =- let l = length kv- (k,v) = unzip kv- in- C.withListArray k $ \d_k ->- C.withListArray v $ \d_v -> do-- sort_f d_k d_v (length kv)- res <- liftM2 zip (C.peekListArray l d_k) (C.peekListArray l d_v)- return (res == sortBy (comparing fst) kv)---test_i :: (Storable a, Eq a) => [(Int,a)] -> IO Bool-test_i kv =- let l = length kv- (k,v) = unzip kv- in- C.withListArray k $ \d_k ->- C.withListArray v $ \d_v -> do-- sort_ui d_k d_v (length kv)- res <- liftM2 zip (C.peekListArray l d_k) (C.peekListArray l d_v)- return (res == sortBy (comparing fst) kv)---{# fun unsafe sort_f- { withDP* `C.DevicePtr Float'- , withDP* `C.DevicePtr a'- , `Int'- } -> `()' #}- where- withDP p a = C.withDevicePtr p $ \p' -> a (castPtr p')--{# fun unsafe sort_ui- { withDP* `C.DevicePtr Int'- , withDP* `C.DevicePtr a'- , `Int'- } -> `()' #}- where- withDP p a = C.withDevicePtr p $ \p' -> a (castPtr p')------- I don't need to learn template haskell or quick check... nah, not at all...----main :: IO ()-main = do- f <- randomList 10000- i <- randomListR 10000 (0,1000)-- putStr "Test (float,int): "- test_f (zip f i) >>= \r -> case r of- True -> putStrLn "Ok!"- _ -> putStrLn "INVALID!"-- putStr "Test (float,float): "- test_f (zip f f) >>= \r -> case r of- True -> putStrLn "Ok!"- _ -> putStrLn "INVALID!"-- putStr "Test (int,int): "- test_i (zip i i) >>= \r -> case r of- True -> putStrLn "Ok!"- _ -> putStrLn "INVALID!"-- putStr "Test (int,float): "- test_i (zip i f) >>= \r -> case r of- True -> putStrLn "Ok!"- _ -> putStrLn "INVALID!"-
− examples/src/sort/radix_sort.cu
@@ -1,61 +0,0 @@-/* ------------------------------------------------------------------------------ *- * Module : Sort- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- *----------------------------------------------------------------------------*/--#include <cudpp.h>--#include "sort.h"---template <typename T> CUDPPDatatype static getType();-template <> CUDPPDatatype getType<float>() { return CUDPP_FLOAT; }-template <> CUDPPDatatype getType<unsigned int>() { return CUDPP_UINT; }---/*- * In-place radix sort of values or key-value pairs. Values can be any 32-bit- * type, as their payload is never inspected or manipulated.- */-template <typename T>-static void-radix_sort-(- unsigned int length,- T *d_keys,- void *d_vals = NULL,- int bits = 8 * sizeof(T)-)-{- CUDPPHandle plan;- CUDPPConfiguration cp;-- cp.datatype = getType<T>();- cp.algorithm = CUDPP_SORT_RADIX;- cp.options = (d_vals != NULL) ? CUDPP_OPTION_KEY_VALUE_PAIRS- : CUDPP_OPTION_KEYS_ONLY;-- cudppPlan(&plan, cp, length, 1, 0);- cudppSort(plan, d_keys, d_vals, bits, length);-- cudppDestroyPlan(plan);-}---/* ------------------------------------------------------------------------------ * Instances- * ---------------------------------------------------------------------------*/--void sort_f(float *d_keys, void *d_vals, unsigned int length)-{- radix_sort<float>(length, d_keys, d_vals);-}--void sort_ui(unsigned int *d_keys, void *d_vals, unsigned int length)-{- radix_sort<unsigned int>(length, d_keys, d_vals);-}-
− examples/src/sort/sort.h
@@ -1,23 +0,0 @@-/* ------------------------------------------------------------------------------ *- * Module : Sort- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- * ---------------------------------------------------------------------------*/--#ifndef __SORT_PRIV_H__-#define __SORT_PRIV_H__--#ifdef __cplusplus-extern "C" {-#endif--void sort_f(float *d_keys, void *d_vals, unsigned int length);-void sort_ui(unsigned int *d_keys, void *d_vals, unsigned int length);--#ifdef __cplusplus-}-#endif-#endif-
− examples/src/vectorAddDrv/Makefile
@@ -1,18 +0,0 @@-#-# Baking!-#--# -------------------------------------------------------------------------------# Input files-# -------------------------------------------------------------------------------EXECUTABLE := vectorAddDrv--HSMAIN := VectorAdd.hs-PTXFILES := vector_add.cu--USEDRVAPI := 1--# -------------------------------------------------------------------------------# Haskell/CUDA build system-# -------------------------------------------------------------------------------include ../../common/common.mk
− examples/src/vectorAddDrv/VectorAdd.hs
@@ -1,121 +0,0 @@--------------------------------------------------------------------------------------- Module : VectorAdd--- Copyright : (c) 2009 Trevor L. McDonell--- License : BSD------ Element-wise addition of two vectors--------------------------------------------------------------------------------------module Main where---- Friends-import RandomVector---- System-import Numeric-import Control.Monad-import Control.Exception-import Data.Array.Storable-import qualified Data.ByteString.Char8 as B-import qualified Foreign.CUDA.Driver as CUDA-------------------------------------------------------------------------------------- Reference implementation-----------------------------------------------------------------------------------testRef :: (Num e, Storable e) => Vector e -> Vector e -> IO (Vector e)-testRef xs ys = do- (i,j) <- getBounds xs- res <- newArray_ (i,j)- forM_ [i..j] (add res)- return res- where- add res idx = do- a <- readArray xs idx- b <- readArray ys idx- writeArray res idx (a+b)------------------------------------------------------------------------------------- CUDA---------------------------------------------------------------------------------------- Initialise the device and context. Load the PTX source code, and return a--- reference to the kernel function.----initCUDA :: IO (CUDA.Context, CUDA.Fun)-initCUDA = do- CUDA.initialise []- dev <- CUDA.device 0- ctx <- CUDA.create dev []- ptx <- B.readFile "data/vector_add.ptx"- (mdl,r) <- CUDA.loadDataEx ptx [CUDA.MaxRegisters 32]- fun <- CUDA.getFun mdl "VecAdd"-- putStrLn $ ">> PTX JIT compilation (" ++ showFFloat (Just 2) (CUDA.jitTime r) " ms)"- B.putStrLn (CUDA.jitInfoLog r)- return (ctx,fun)-------- Run the test----testCUDA :: (Num e, Storable e) => Vector e -> Vector e -> IO (Vector e)-testCUDA xs ys = do- (m,n) <- getBounds xs- let len = (n-m+1)-- -- Initialise environment and copy over test data- --- putStrLn ">> Initialising"- bracket initCUDA (\(ctx,_) -> CUDA.destroy ctx) $ \(_,addVec) -> do-- -- Allocate some device memory. This will be freed once the computation- -- terminates, either normally or by exception.- --- putStrLn ">> Executing"- CUDA.allocaArray len $ \dx -> do- CUDA.allocaArray len $ \dy -> do- CUDA.allocaArray len $ \dz -> do-- -- Copy over the data- --- withVector xs $ \p -> CUDA.pokeArray len p dx- withVector ys $ \p -> CUDA.pokeArray len p dy-- -- Setup and execute the kernel (repeat test many times...)- --- CUDA.setParams addVec [CUDA.VArg dx, CUDA.VArg dy, CUDA.VArg dz, CUDA.IArg len]- CUDA.setBlockShape addVec (128,1,1)- CUDA.launch addVec ((len+128-1) `div` 128, 1) Nothing- CUDA.sync-- -- Copy back result- --- zs <- newArray_ (m,n)- withVector zs $ \p -> CUDA.peekArray len dz p- return zs-------------------------------------------------------------------------------------- Test & Verify-----------------------------------------------------------------------------------main :: IO ()-main = do- putStrLn "== Generating random vectors"- xs <- randomArr (1,10000) :: IO (Vector Float)- ys <- randomArr (1,10000) :: IO (Vector Float)-- putStrLn "== Generating reference solution"- ref <- testRef xs ys-- putStrLn "== Testing CUDA"- arr <- testCUDA xs ys-- putStr "== Validating: "- verify ref arr >>= \rv -> putStrLn $ if rv then "Ok!" else "INVALID!"-
− examples/src/vectorAddDrv/vector_add.cu
@@ -1,18 +0,0 @@-/*- * Name : VectorAdd- * Copyright : (c) 2009 Trevor L. McDonell- * License : BSD- *- * Element-wise addition of two (floating-point) vectors- */---extern "C"-__global__ void VecAdd(const float *xs, const float *ys, float *out, const unsigned int N)-{- unsigned int idx = blockDim.x * blockIdx.x + threadIdx.x;-- if (idx < N)- out[idx] = xs[idx] + ys[idx];-}-