cuda

FFI binding to the CUDA interface for programming NVIDIA GPUs

https://github.com/tmcdonell/cuda

Version on this page:0.10.0.0
LTS Haskell 22.39:0.11.0.1
Stackage Nightly 2024-10-29:0.11.0.1
Latest on Hackage:0.11.0.1

See all snapshots cuda appears in

Haskell FFI Bindings to CUDA

Travis build status AppVeyor build status Stackage LTS Stackage Nightly Hackage

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.markdown

Changes

Change Log

Notable changes to the project will be documented in this file.

The format is based on Keep a Changelog.

0.10.0.0 - 2018-10-02

Added

  • Device properties for SM7

  • Functions from CUDA-9.2

    • Device.uuid
    • Stream.getContext
  • Functions from CUDA-10.0

    • Foreign.CUDA.Driver.Graph*
  • Additional bindings from older CUDA releases

Changed

  • Replace uses of String with ShortByteString

Removed

  • Support for ghc-7.6

0.9.0.3 - 2018-03-12

Fixed

  • Build fix for Cabal-2.2 (ghc-8.4)

0.9.0.2 - 2018-03-07

Fixed

  • Build fix for Nix (#53)

0.9.0.1 - 2018-02-16

Fixed

  • Build fix for macOS High Sierra (10.13)

0.9.0.0 - 2017-11-15

Fixed

  • Build fixes for CUDA-9

Added

  • Peer.getAttribute
  • Exec.launchKernelCooperative

Changed

  • Changed type of Stream.wait and Stream.write to support 64-bit values

0.8.0.1 - 2017-10-24

Fixed

  • Escape backslashes used in -D flags on Windows (#50)

0.8.0.0 - 2017-08-24

Changed

  • Tested with CUDA toolkit 8.0

Added

  • Add operations for unified addressing in the device API
  • Add write and wait operations for streams in the device API
  • (internals) The paths this module was configured against are exposed by the module Foreign.CUDA.Paths.

0.7.5.3 - 2017-03-23

Fixed

  • Bug fix in occupancy calculator

0.7.5.2 - 2017-01-06

Fixed

  • Build fails with library profiling (#43)
  • On Windows, the Cabal installer is looking in the wrong place (#45)
  • Windows install fix (#47)

0.7.5.1 - 2016-10-21

Fixed

  • Re-enable support for Cabal-1.22
  • Unknown CUDA device compute capability 6.1 (#40)
  • Compilation fails for CUDA-8 [was: ghc 7.10.3 fail to install] (#44)

0.7.5.0 - 2016-10-07

Changed

  • Tested with CUDA toolkit 7.5

Added

  • Add functions from CUDA-7.5
  • Add profiler control functions
  • Add function mallocHostForeignPtr

0.7.0.0 - 2015-11-30

Changed

  • Add support for operations from CUDA-7.0
  • Add support for online linking
  • Add support for inter-process communication
  • Bug fixes, extra documentation, improve library coverage.
  • Mac OS X no longer requires the DYLD_LIBRARY_PATH environment variable in order to compile or run programs that use this package.

0.6.7.0 - 2015-09-12

Added

  • Add support for building on Windows (thanks to @mwu-tow)

0.6.6.2 - 2015-04-04

Fixed

  • Build fix

0.6.6.1 - 2015-04-04 [YANKED]

Fixed

  • Build fixes for ghc-7.6 and ghc-7.10

0.6.6.0 - 2015-03-10

Added

  • Add compute-capability data for 3.7, 5.2 devices.

Changed

  • Combine the definition of the ‘Event’ and ‘Stream’ data types. As of CUDA-3.1 these data structures are equivalent, and can be safely shared between runtime and driver API calls and libraries.

  • Mark FFI imports of potentially long-running API functions as safe. This allows them to be safely called from Haskell threads without blocking the entire HEC.

Removed

  • Drop support for CUDA 3.0 and older.

0.6.5.1 - 2014-12-02

Fixed

  • Build fix for Mac OS X 10.10 (Yosemite)

0.6.5.0 - 2014-09-03

Changed

  • Tested with CUDA toolkit 6.5

Added

  • Add functions from CUDA-6.5