Haskell FFI Bindings to CUDA

The CUDA library provides a direct, general purpose C-like SPMD programming model for NVIDIA graphics cards (G8x series onwards). This is a collection of bindings to allow you to call and control, although not write, such functions from Haskell-land. You will need to install the CUDA driver and developer toolkit.

http://developer.nvidia.com/object/cuda.html

The configure step will look for your CUDA installation in the standard places, and if the nvcc compiler is found in your PATH, relative to that.

For important information on installing on Windows, see:

https://github.com/tmcdonell/cuda/blob/master/WINDOWS.md

Missing functionality

This library is currently in maintenance mode. While we plan to release updates to keep the existing interface working with newer CUDA versions (as long as the underlying APIs remain available), no binding of new features is planned at the moment. Get in touch if you want to contribute.

Here is an incomplete historical list of missing bindings. Pull requests welcome!

CUDA-9

• cuLaunchCooperativeKernelMultiDevice

CUDA-10.0

• cuDeviceGetLuid (windows only?)
• cuLaunchHostFunc
• cuGraphHostNode[Get/Set]Params
• cuGraphKernelNode[Get/Set]Params
• cuGraphMemcpyNode[Get/Set]Params
• cuGraphMemsetNode[Get/Set]Params

CUDA-10.2

• cuDeviceGetNvSciSyncAttributes
• cuMemAddressFree
• cuMemAddressReserve
• cuMemCreate
• cuMemExportToShareableHandle
• cuMemGetAccess
• cuMemGetAllocationGranularity
• cuMemGetAllocationPrepertiesFromHandle
• cuMemImportFromShareableHandle
• cuMemMap
• cuMemRelease
• cuMemSetAccess
• cuMemUnmap
• cuGraphExecHostNodeSetParams
• cuGraphExecMemcpyNodeSetParams
• cuGraphExecMemsetNodeSetParams
• cuGraphExecUpdate

CUDA-11.0

• cuCtxResetPersistentingL2Cache
• cuMemRetainAllocationHandle
• cuStreamCopyAttributes
• cuStreamGetAttribute
• cuStreamSetAttribute
• cuGraphKernelNodeCopyAttributes
• cuGraphKernelNodeGetAttribute
• cuGraphKernelNodeSetAttribute
• cuOccupancyAvailableDynamicSMemPerBlock

CUDA-11.1

• cuDeviceGetTexture1DLinearMaxWidth
• cuArrayGetSparseProperties
• cuMipmappedArrayGetSparseProperties
• cuMemMapArrayAsync
• cuEventRecordWithFlags
• cuGraphAddEventRecordNode
• cuGraphAddEventWaitNode
• cuGraphEventRecordNodeGetEvent
• cuGraphEventRecordNodeSetEvent
• cuGraphEventWaitNodeGetEvent
• cuGraphEventWaitNodeSetEvent
• cuGraphExecChildGraphNodeSetParams
• cuGraphExecEventRecordNodeSetEvent
• cuGraphExecEventWaitNodeSetEvent
• cuGraphUpload

CUDA-11.2

• cuDeviceGetDefaultMemPool
• cuDeviceGetMemPool
• cuDeviceSetMemPool
• cuArrayGetPlane
• cuMemAllocAsync
• cuMemAllocFromPoolAsync
• cuMemFreeAsync
• cuMemPoolCreate
• cuMemPoolDestroy
• cuMemPoolExportPointer
• cuMemPoolExportToShareableHandle
• cuMemPoolGetAccess
• cuMemPoolGetAttribute
• cuMemPoolImportFromShareableHandle
• cuMemPoolImportPointer
• cuMemPoolSetAccess
• cuMemPoolSetAttribute
• cuMemPoolTrimTo
• cuGraphAddExternalSemaphoresSignalNode
• cuGraphAddExternalSemaphoresWaitNode
• cuGraphExecExternalSemaphoresSignalNodeSetParams
• cuGraphExecExternalSemaphoresWaitNodeSetParams
• cuGraphExternalSemaphoresSignalNodeGetParams
• cuGraphExternalSemaphoresSignalNodeSetParams
• cuGraphExternalSemaphoresWaitNodeGetParams
• cuGraphExternalSemaphoresWaitNodeSetParams

CUDA-11.3

• cuStreamGetCaptureInfo_v2
• cuFuncGetModule
• cuGraphDebugDotPrint
• cuGraphReleaseUserObject
• cuGraphRetainUserObject
• cuUserObjectCreate
• cuUserObjectRelease
• cuUserObjectRetain
• cuGetProcAddress

CUDA-11.4

• cuDeviceGetUuid_v2
• cuCtxCreate_v3
• cuCtxGetExecAffinity
• cuDeviceGetGraphMemAttribute
• cuDeviceGraphMemTrim
• cuDeviceSetGraphMemAttribute
• cuGraphAddMemAllocNode
• cuGraphAddMemFreeNode
• cuGraphInstantiateWithFlags
• cuGraphMemAllocNodeGetParams
• cuGraphMemFreeNodeGetParams

CUDA-12

A lot. PRs welcome.

Old compatibility notes

The setup script for this package requires at least Cabal-1.24. If you run into trouble with this:

• Cabal users: ensure you are using a new cabal executable and have run cabal update anywhere in the last few years. If you have previously run cabal install on libraries and have a broken environment as a result, remove ~/.ghc/<platfom>/environments/default.
• Stack users: one may attempt @stack setup --upgrade-cabal@.

Due to an interaction between GHC-8 and unified virtual address spaces in CUDA, this package does not currently work with GHCi on ghc-8.0.1 (compiled programs should work). See the following for more details:

• #39
• https://ghc.haskell.org/trac/ghc/ticket/12573

The bug should be fixed in ghc-8.0.2 and beyond.