accelerate-cuda alternatives and similar packages
Based on the "accelerate" category.
Alternatively, view accelerate-cuda alternatives based on common mentions on social networks and blogs.
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accelerate
Embedded language for high-performance array computations -
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accelerate-examples
Examples for the Accelerate language -
accelerate-io
Read and write Accelerate arrays in various formats -
accelerate-fft
FFT library for Haskell based on the embedded array language Accelerate -
accelerate-bignum
Fixed-length large integer arithmetic for Accelerate
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Popular Comparisons
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accelerate-cudavsaccelerate-bignum
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accelerate-cudavsdhall
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accelerate-cudavsaccelerate-fft
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accelerate-cudavsaccelerate-io
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accelerate-cudavshyper-haskell-server
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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.