[Numpy-discussion] Direct GPU support on NumPy
Lev E Givon
lev at columbia.edu
Tue Jan 2 20:56:21 EST 2018
On Jan 2, 2018 8:35 PM, "Matthew Harrigan" <harrigan.matthew at gmail.com>
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.
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