accelerate-cuda alternatives and similar packages

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accelerate

9.9 5.3 accelerate-cuda VS accelerate

Embedded language for high-performance array computations
accelerate-llvm

9.6 6.0 accelerate-cuda VS accelerate-llvm

LLVM backend for Accelerate

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accelerate-examples

9.2 0.0 accelerate-cuda VS accelerate-examples

Examples for the Accelerate language
accelerate-io

8.3 3.2 accelerate-cuda VS accelerate-io

Read and write Accelerate arrays in various formats
accelerate-fft

7.9 0.0 accelerate-cuda VS accelerate-fft

FFT library for Haskell based on the embedded array language Accelerate
accelerate-bignum

3.4 0.0 accelerate-cuda VS accelerate-bignum

Fixed-length large integer arithmetic for Accelerate

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README

A CUDA Backend for the Accelerate Array Language

NOTE: This package is being deprecated in favour of accelerate-llvm, which supports execution on multicore CPUs as well as CUDA-capable GPUs. See the accelerate-llvm package for details.

This package compiles Accelerate code down to NVIDIA's CUDA language for general-purpose GPU programming. For details on Accelerate, refer to the main repository. Please also file bug reports and feature requests with the issue tracker of the main repository.

To use this package, you need a CUDA-enabled NVIDIA GPU and NVIDIA's CUDA SDK version 3.* or later. You can find the SDK at the NVIDIA Developer Zone. We recommend to use hardware with compute capability 1.2 or greater — see the table on Wikipedia.