cuda (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/cuda-downloads  The setup script will look for your CUDA installation by checking, in the following order:  The CUDA_PATH environment variable  Searching for nvcc on the PATH  Checking at /usr/local/cuda  CUDA_PATH_Vx_y environment variable, for recent CUDA toolkit versions x.y  This library provides bindings to both the CUDA Driver and Runtime APIs. To get started, see one of:  Foreign.CUDA.Driver (a short tutorial is available here)  Foreign.CUDA.Runtime  Tested with library versions up to CUDA-11.4. See also the travis-ci.org build matrix for version compatibility.  The setup script for this package requires at least Cabal-1.24. To upgrade, execute one of:  cabal users: cabal install Cabal --constraint="Cabal >= 1.24"  stack users: 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:  https://github.com/tmcdonell/cuda/issues/39  https://ghc.haskell.org/trac/ghc/ticket/12573  The bug should be fixed in ghc-8.0.2 and beyond.  For additional notes on installing on Windows, see:  https://github.com/tmcdonell/cuda/blob/master/WINDOWS.md
Keywords: bsd3|foreign|library|program|cuda|ffi-bindings|haskell