On Jan 2, 2018 8:35 PM, "Matthew Harrigan" <harrigan.matt...@gmail.com> wrote:
Is it possible to have NumPy use a BLAS/LAPACK library that is GPU accelerated for certain problems? Any recommendations or readme's on how that might be set up? The other packages are nice but I would really love to just use scipy/sklearn and have decompositions, factorizations, etc for big matrices go a little faster without recoding the algorithms. Thanks Depending on what operation you want to accelerate, scikit-cuda may provide a scipy-like interface to GPU-based implementations that you can use. It isn't a drop-in replacement for numpy/scipy, however. http://github.com/lebedov/scikit-cuda L
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