accelerate-cuda-0.17.0.0: Data/Array/Accelerate/CUDA/Context.hs
{-# LANGUAGE MagicHash #-}
{-# LANGUAGE UnboxedTuples #-}
{-# LANGUAGE ViewPatterns #-}
-- |
-- Module : Data.Array.Accelerate.CUDA.Context
-- Copyright : [2013..2014] Manuel M T Chakravarty, Gabriele Keller, Trevor L. McDonell
-- License : BSD3
--
-- Maintainer : Trevor L. McDonell <tmcdonell@cse.unsw.edu.au>
-- Stability : experimental
-- Portability : non-portable (GHC extensions)
--
-- This module defines the execution context of an Accelerate computation in the
-- CUDA backend
--
module Data.Array.Accelerate.CUDA.Context (
-- An execution context
Context(..), create, push, pop, destroy,
keepAlive, fromDeviceContext,
) where
-- friends
import Data.Array.Accelerate.CUDA.Debug ( traceIO, verbose, dump_gc, showFFloatSIBase )
import Data.Array.Accelerate.CUDA.Analysis.Device
import Data.Array.Accelerate.Lifetime
-- system
import Data.Function ( on )
import Control.Exception ( bracket_ )
import Control.Concurrent ( forkIO, threadDelay )
import Control.Monad ( when )
import System.Mem.Weak ( Weak )
import Text.PrettyPrint
import qualified Foreign.CUDA.Driver as CUDA hiding ( device )
import qualified Foreign.CUDA.Driver.Context as CUDA
import qualified Foreign.CUDA.Driver.Device as CUDA
-- | The execution context
--
data Context = Context {
deviceProperties :: {-# UNPACK #-} !CUDA.DeviceProperties, -- information on hardware resources
deviceContext :: {-# UNPACK #-} !(Lifetime CUDA.Context), -- device execution context
weakContext :: {-# UNPACK #-} !(Weak (Lifetime CUDA.Context)) -- weak pointer to the context (for memory management)
}
instance Eq Context where
(==) = (==) `on` deviceContext
-- | Create a new CUDA context associated with the calling thread
--
create :: CUDA.Device -> [CUDA.ContextFlag] -> IO Context
create dev flags = do
ctx <- CUDA.create dev flags >> CUDA.pop
actx@(Context prp _ _) <- fromDeviceContext dev ctx
_ <- keepAlive actx
-- Generated code does not take particular advantage of shared memory, so
-- for devices that support it use those banks as an L1 cache instead.
--
-- TODO: Perhaps make this a command line switch: -fprefer-[l1,shared]
-- TODO: Make the occupancy calculator aware of adjustable shared memory
--
when (CUDA.computeCapability prp >= CUDA.Compute 2 0)
$ bracket_ (CUDA.push ctx) CUDA.pop (CUDA.setCache CUDA.PreferL1)
traceIO verbose (deviceInfo dev prp)
return actx
-- |Given a device context, construct a new context around it.
--
fromDeviceContext :: CUDA.Device -> CUDA.Context -> IO Context
fromDeviceContext dev ctx = do
prp <- CUDA.props dev
lctx <- newLifetime ctx
addFinalizer lctx $ do
traceIO dump_gc $ "gc: finalise context #" ++ show (CUDA.useContext ctx)
CUDA.push ctx
CUDA.destroy ctx
weak <- mkWeakPtr lctx
traceIO dump_gc $ "gc: initialise context #" ++ show (CUDA.useContext ctx)
return $! Context prp lctx weak
-- | Destroy the specified context. This will fail if the context is more than
-- single attachment.
--
{-# INLINE destroy #-}
destroy :: Context -> IO ()
destroy (deviceContext -> ctx) = finalize ctx
-- | 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.
--
{-# INLINE push #-}
push :: Context -> IO ()
push (deviceContext -> lctx) = withLifetime lctx $ \ctx -> do
traceIO dump_gc ("gc: push context: #" ++ show (CUDA.useContext ctx))
CUDA.push ctx
-- | Pop the current context.
--
{-# INLINE pop #-}
pop :: IO ()
pop = do
ctx <- CUDA.pop
traceIO dump_gc ("gc: pop context: #" ++ show (CUDA.useContext 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.
--
-- Broken in ghci-7.6.1 Mac OS X due to bug #7299.
--
keepAlive :: a -> IO a
keepAlive x = forkIO (caffeine x) >> return x
where
caffeine hit = do threadDelay (5 * 1000 * 1000) -- 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 $ reset <>
devID <> colon <+> vcat [ name <+> parens compute
, processors <+> at <+> text clock <+> parens cores <> comma <+> memory
]
where
name = text (CUDA.deviceName prp)
compute = text "compute capatability" <+> text (show $ 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 '@'
reset = zeroWidthText "\r"