accelerate-cuda-0.12.1.0: Data/Array/Accelerate/CUDA/State.hs
{-# LANGUAGE CPP #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE TupleSections #-}
{-# LANGUAGE TypeOperators #-}
{-# OPTIONS_GHC -fno-warn-orphans #-} -- Eq CUDA.Context
-- |
-- Module : Data.Array.Accelerate.CUDA.State
-- Copyright : [2008..2010] Manuel M T Chakravarty, Gabriele Keller, Sean Lee
-- [2009..2012] Manuel M T Chakravarty, Gabriele Keller, Trevor L. McDonell
-- License : BSD3
--
-- Maintainer : Trevor L. McDonell <tmcdonell@cse.unsw.edu.au>
-- Stability : experimental
-- Portability : non-partable (GHC extensions)
--
-- This module defines a state monad token which keeps track of the code
-- generator state, including memory transfers and external compilation
-- processes.
--
module Data.Array.Accelerate.CUDA.State (
-- Evaluating computations
CIO, evalCUDA,
-- Querying execution state
defaultContext, deviceProps, activeContext, kernelTable, memoryTable
) where
-- friends
import Data.Array.Accelerate.CUDA.Debug ( message, verbose, dump_gc, showFFloatSIBase )
import Data.Array.Accelerate.CUDA.Persistent as KT
import Data.Array.Accelerate.CUDA.Array.Table as MT
import Data.Array.Accelerate.CUDA.Analysis.Device
-- library
import Data.Label
import Control.Exception
import Control.Concurrent ( forkIO, threadDelay )
import Control.Monad.State.Strict ( StateT(..), evalStateT )
import System.Mem ( performGC )
import System.Mem.Weak ( mkWeakPtr, addFinalizer )
import System.IO.Unsafe ( unsafePerformIO )
import Text.PrettyPrint
import qualified Foreign.CUDA.Driver as CUDA hiding ( device )
import qualified Foreign.CUDA.Driver.Context as CUDA
-- The state token for CUDA accelerated array operations
--
type CIO = StateT CUDAState IO
data CUDAState = CUDAState
{
_deviceProps :: !CUDA.DeviceProperties,
_activeContext :: {-# UNPACK #-} !Context,
_kernelTable :: {-# UNPACK #-} !KernelTable,
_memoryTable :: {-# UNPACK #-} !MemoryTable
}
instance Eq CUDA.Context where
CUDA.Context p1 == CUDA.Context p2 = p1 == p2
$(mkLabels [''CUDAState])
-- Execution State
-- ---------------
-- |Evaluate a CUDA array computation
--
evalCUDA :: CUDA.Context -> CIO a -> IO a
evalCUDA ctx acc = bracket setup teardown $ evalStateT acc
where
teardown _ = CUDA.pop >> performGC
setup = do
CUDA.push ctx
dev <- CUDA.device
prp <- CUDA.props dev
weak_ctx <- mkWeakPtr ctx Nothing
return $! CUDAState prp (Context ctx weak_ctx) theKernelTable theMemoryTable
-- Top-level mutable state
-- -----------------------
--
-- It is important to keep some information alive for the entire run of the
-- program, not just a single execution. These tokens use unsafePerformIO to
-- ensure they are executed only once, and reused for subsequent invocations.
--
{-# NOINLINE theMemoryTable #-}
theMemoryTable :: MemoryTable
theMemoryTable = unsafePerformIO $ do
message dump_gc "gc: initialise memory table"
keepAlive =<< MT.new
{-# NOINLINE theKernelTable #-}
theKernelTable :: KernelTable
theKernelTable = unsafePerformIO $ do
message dump_gc "gc: initialise kernel table"
keepAlive =<< KT.new
-- Select and initialise a default CUDA device, and create a new execution
-- context. The device is selected based on compute capability and estimated
-- maximum throughput.
--
{-# NOINLINE defaultContext #-}
defaultContext :: CUDA.Context
defaultContext = unsafePerformIO $ do
CUDA.initialise []
(dev,prp) <- selectBestDevice
ctx <- CUDA.create dev [CUDA.SchedAuto] >> CUDA.pop
--
message dump_gc $ "gc: initialise context"
message verbose $ deviceInfo dev prp
--
addFinalizer ctx $ do
message dump_gc $ "gc: finalise context" -- should never happen!
CUDA.destroy ctx
--
keepAlive ctx
-- Make sure the GC knows that we want to keep this thing alive past the end of
-- 'evalCUDA'.
--
-- We may want to introduce some way to actually shut this down if, for example,
-- the object has not been accessed in a while, and so let it be collected.
--
keepAlive :: a -> IO a
keepAlive x = forkIO (caffeine x) >> return x
where
caffeine hit = do threadDelay 5000000 -- microseconds = 5 seconds
caffeine hit
-- Debugging
-- ---------
-- Nicely format a summary of the selected CUDA device, example:
--
-- Device 0: GeForce 9600M GT (compute capability 1.1)
-- 4 multiprocessors @ 1.25GHz (32 cores), 512MB global memory
--
deviceInfo :: CUDA.Device -> CUDA.DeviceProperties -> String
deviceInfo dev prp = render $
devID <> colon <+> vcat [ name <+> parens compute
, processors <+> at <+> text clock <+> parens cores <> comma <+> memory
]
where
name = text (CUDA.deviceName prp)
compute = text "compute capatability" <+> double (CUDA.computeCapability prp)
devID = text "Device" <+> int (fromIntegral $ CUDA.useDevice dev) -- hax
processors = int (CUDA.multiProcessorCount prp) <+> text "multiprocessors"
cores = int (CUDA.multiProcessorCount prp * coresPerMultiProcessor prp) <+> text "cores"
memory = text mem <+> text "global memory"
--
clock = showFFloatSIBase (Just 2) 1000 (fromIntegral $ CUDA.clockRate prp * 1000 :: Double) "Hz"
mem = showFFloatSIBase (Just 0) 1024 (fromIntegral $ CUDA.totalGlobalMem prp :: Double) "B"
at = char '@'