tools.md

Parallel Computing Frameworks

• OpenCL: https://www.khronos.org/opencl/
• CUDA: https://developer.nvidia.com/cuda-zone/
• OpenACC: https://www.openacc.org/

Python solutions

• General-purpose computing on GPUs (GPGPU)
  • PyCUDA: https://documen.tician.de/pycuda/
  • PyOpenCL: https://documen.tician.de/pyopencl/
• Special-purpose software
  • Numba: https://github.com/numba/numba
  • CuPy: https://cupy.dev/
  • PyCLBlast: https://github.com/CNugteren/CLBlast/tree/master/src/pyclblast
  • Rapids AI: https://rapids.ai/
    • cuDF: https://github.com/rapidsai/cudf
    • cuML: https://github.com/rapidsai/cuml
    • cuGraph: https://github.com/rapidsai/cugraph
  • Other
    • scikit-cuda: https://scikit-cuda.readthedocs.io/en/latest/
    • cuDNN wrappers: https://github.com/hannes-brt/cudnn-python-wrappers
    • CUDAMat: https://github.com/cudamat/cudamat
    • pyvkfft: https://github.com/vincefn/pyvkfft
    • gpyfft: https://github.com/geggo/gpyfft
    • reikna: https://pypi.org/project/reikna/
    • compyle: https://pypi.org/project/compyle/
    • pynufft: https://pypi.org/project/pynufft/

Other solutions

• CLBlast: https://github.com/CNugteren/CLBlast/
• SWIG: http://www.swig.org/
• CUDA C APIs
  • cuFFT: https://docs.nvidia.com/cuda/cufft/index.html
  • cuSOLVER: https://docs.nvidia.com/cuda/cusolver/index.html
  • cuBLAS: https://docs.nvidia.com/cuda/cublas/index.html
  • cuSPARCE: https://docs.nvidia.com/cuda/cusparse/index.html
  • cuRAND: https://docs.nvidia.com/cuda/curand/index.html
• clFFT: https://github.com/clMathLibraries/clFFT

Deprecated or No longer supported

• pyculib: https://github.com/numba/pyculib
• Pyculib_sorting: https://github.com/numba/pyculib_sorting