scikit-cuda provides Python interfaces to many of the functions in the CUDA device/runtime, CUBLAS, CUFFT, and CUSOLVER libraries distributed as part of NVIDIA's CUDA Programming Toolkit, as well as interfaces to select functions in the free and standard versions of the CULA Dense Toolkit. Both low-level wrapper functions similar to their C counterparts and high-level functions comparable those in NumPy and Scipy are provided.


  • scikit-cuda 0.5.1 [ code | docs ] (October 30, 2015) scikit_cuda_zenodo


The latest source code and documentation written by Lev E. Givon can be obtained from the scikit-cuda GitHub repository.

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