Eric and Lars, Eric Hunsberger <[email protected]> writes: > Looking at old mailing list messages, it looked like there had been past > interest in wrapping the AMD OpenCL BLAS library, but that no-one had > gotten around to it yet: > > http://lists.tiker.net/pipermail/pyopencl/2013-August/001573.html > > So I wrote my own wrapper the other day, only to find that Lars Ericson has > just done a very similar thing: > > http://lists.tiker.net/pipermail/pyopencl/2015-June/001890.html > > There are some differences, though. I'm interfacing with the new clBLAS > library as available on GitHub (https://github.com/clMathLibraries/clBLAS). > The interfaces are also different: Lars incorporates a lot more stuff in > the Cython files, so that you can write your own Cython programs to use the > BLAS functions, whereas my approach is just to make basic wrappers for the > functions so that they're easy to call on PyOpenCL Arrays from Python. > > I haven't done a lot of profiling yet, but the performance seems to be > pretty good on my NVIDIA GPU, especially for larger matrices (I haven't > done a comparison with cuBLAS, though). > > My wrapper is available here: > > https://github.com/hunse/pyopencl_blas > > Hopefully it's not too difficult to install; I've only tried on Linux.
Thanks for making your wrappers available! I've added links to them from the front page of the PyOpenCL docs: http://documen.tician.de/pyopencl/ Andreas
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