cuda
FFI binding to the CUDA interface for programming NVIDIA GPUs
https://github.com/tmcdonell/cuda
| Version on this page: | 0.9.0.3 |
| LTS Haskell 22.43: | 0.11.0.1 |
| Stackage Nightly 2024-12-07: | 0.11.0.1 |
| Latest on Hackage: | 0.11.0.1 |
This version can be pinned in stack with:
cuda-0.9.0.3@sha256:4aa868072fd3645388b53d562d9c4dc086f316bc73fb9cf2567d917aa63f8b13,5500Module documentation for 0.9.0.3
- Foreign
- Foreign.CUDA
- Foreign.CUDA.Analysis
- Foreign.CUDA.Driver
- Foreign.CUDA.Driver.Context
- Foreign.CUDA.Driver.Device
- Foreign.CUDA.Driver.Error
- Foreign.CUDA.Driver.Event
- Foreign.CUDA.Driver.Exec
- Foreign.CUDA.Driver.IPC
- Foreign.CUDA.Driver.Marshal
- Foreign.CUDA.Driver.Module
- Foreign.CUDA.Driver.Profiler
- Foreign.CUDA.Driver.Stream
- Foreign.CUDA.Driver.Texture
- Foreign.CUDA.Driver.Unified
- Foreign.CUDA.Driver.Utils
- Foreign.CUDA.Path
- Foreign.CUDA.Ptr
- Foreign.CUDA.Runtime
- Foreign.CUDA.Types
- Foreign.CUDA
Depends on 6 packages(full list with versions):
Used by 9 packages in lts-11.22(full list with versions):
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.markdown