On Wed, Nov 7, 2012 at 1:56 PM, Neal Becker <[email protected]> wrote: > David Cournapeau wrote: > >> On Wed, Nov 7, 2012 at 12:35 PM, Neal Becker <[email protected]> wrote: >>> I'm trying to do a bit of benchmarking to see if amd libm/acml will help me. >>> >>> I got an idea that instead of building all of numpy/scipy and all of my >>> custom modules against these libraries, I could simply use: >>> >>> > LD_PRELOAD=/opt/amdlibm-3.0.2/lib/dynamic/libamdlibm.so:/opt/acml5.2.0/gfortran64/lib/libacml.so >>> <my program here> >>> >>> I'm hoping that both numpy and my own dll's then will take advantage of >>> these >>> libraries. >>> >>> Do you think this will work? >> >> Quite unlikely depending on your configuration, because those >> libraries are rarely if ever ABI compatible (that's why it is such a >> pain to support). >> >> David > > When you say quite unlikely (to work), you mean > > a) unlikely that libm/acml will be used to resolve symbols in numpy/dlls at > runtime (e.g., exp)? > > or > > b) program may produce wrong results and/or crash ?
Both, actually. That's not something I would use myself. Did you try openblas ? It is open source, simple to build, and is pretty fast, David _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
