accelerate-llvm-ptx-1.2.0.0: src/Data/Array/Accelerate/LLVM/PTX/Analysis/Device.hs
{-# LANGUAGE ScopedTypeVariables #-}
-- |
-- Module : Data.Array.Accelerate.LLVM.PTX.Analysis.Device
-- Copyright : [2008..2017] Manuel M T Chakravarty, Gabriele Keller
-- [2009..2017] Trevor L. McDonell
-- License : BSD3
--
-- Maintainer : Trevor L. McDonell <tmcdonell@cse.unsw.edu.au>
-- Stability : experimental
-- Portability : non-portable (GHC extensions)
--
module Data.Array.Accelerate.LLVM.PTX.Analysis.Device
where
import Control.Exception
import Data.Function
import Data.List
import Data.Ord
import Foreign.CUDA.Analysis.Device
import Foreign.CUDA.Driver.Context ( Context )
import Foreign.CUDA.Driver.Device
import Foreign.CUDA.Driver.Error
import qualified Foreign.CUDA.Driver as CUDA
-- Select the best of the available CUDA capable devices. This prefers devices
-- with higher compute capability, followed by maximum throughput.
--
-- For hosts with multiple devices in Exclusive Process mode, this will select
-- the first of the _available_ devices. If no devices are available, an
-- exception is thrown indicating that no devices are available.
--
selectBestDevice :: IO (Device, DeviceProperties, Context)
selectBestDevice = select =<< enumerateDevices
where
select :: [(Device, DeviceProperties)] -> IO (Device, DeviceProperties, Context)
select [] = cudaErrorIO "No CUDA-capable devices are available"
select ((dev,prp):rest) = do
r <- try $ CUDA.create dev [CUDA.SchedAuto]
case r of
Right ctx -> return (dev,prp,ctx)
Left (_::CUDAException) -> select rest
-- Return the list of all connected CUDA devices, sorted by compute
-- compatibility, followed by maximum throughput.
--
-- Strictly speaking this may not necessary, as the default device enumeration
-- appears to be sorted by some metric already.
--
-- Ignore the possibility of emulation-mode devices, as this has been deprecated
-- as of CUDA v3.0 (compute-capability == 9999.9999)
--
enumerateDevices :: IO [(Device, DeviceProperties)]
enumerateDevices = do
devs <- mapM CUDA.device . enumFromTo 0 . subtract 1 =<< CUDA.count
prps <- mapM CUDA.props devs
return $ sortBy (flip compareDevices `on` snd) (zip devs prps)
-- Return a ordering of two device with respect to (estimated) performance
--
compareDevices :: DeviceProperties -> DeviceProperties -> Ordering
compareDevices = cmp
where
compute = computeCapability
flops d = multiProcessorCount d * coresPerMultiProcessor d * clockRate d
cmp x y
| compute x == compute y = comparing flops x y
| otherwise = comparing compute x y
-- Number of CUDA cores per streaming multiprocessor for a given architecture
-- revision. This is the number of SIMD arithmetic units per multiprocessor,
-- executing in lockstep in half-warp groupings (16 ALUs).
--
coresPerMultiProcessor :: DeviceProperties -> Int
coresPerMultiProcessor = coresPerMP . deviceResources