Thanks, just getting back to this. I just checked again, and after setting my LD_LIBRARY_PATH properly, ldd shows _dotblas.so pointing and the sunmath and sunperf libraries. However the test_03.py still runs at about 8-9 seconds ... far too slow.
~/local/lib/python3.1/site-packages/numpy/core $ ldd _dotblas.so | sed -e 's/$me/$USERNAME/g' libsunperf.so.8 => /home/$USERNAME/local/archive/SolarisStudio12.2-solaris-sparc-tar-ML/solstudio12.2/lib//libsunperf.so.8 libsunmath.so.1 => /home/$USERNAME/local/archive/SolarisStudio12.2-solaris-sparc-tar-ML/solstudio12.2/lib//libsunmath.so.1 libgcc_s.so.1 => /usr/sfw/lib/libgcc_s.so.1 libfsu.so.1 => /home/$USERNAME/local/archive/SolarisStudio12.2-solaris-sparc-tar-ML/solstudio12.2/lib//libfsu.so.1 libfui.so.2 => /home/$USERNAME/local/archive/SolarisStudio12.2-solaris-sparc-tar-ML/solstudio12.2/lib//libfui.so.2 libpicl.so.1 => /usr/lib/libpicl.so.1 libmtsk.so.1 => /lib/libmtsk.so.1 libm.so.2 => /lib/libm.so.2 libc.so.1 => /lib/libc.so.1 libm.so.1 => /lib/libm.so.1 libdl.so.1 => /lib/libdl.so.1 libdoor.so.1 => /lib/libdoor.so.1 libthread.so.1 => /lib/libthread.so.1 libkstat.so.1 => /lib/libkstat.so.1 libpthread.so.1 => /lib/libpthread.so.1 librt.so.1 => /lib/librt.so.1 libaio.so.1 => /lib/libaio.so.1 libmd.so.1 => /lib/libmd.so.1 /platform/SUNW,Sun-Fire-V490/lib/libc_psr.so.1 /platform/SUNW,Sun-Fire-V490/lib/libmd_psr.so.1 ~/local/lib/python3.1/site-packages/numpy/core $ ~/python/numpy/B/test_03.py No ATLAS: 8.49377894402 (1000, 1000) (1000,) (1000, 1000) On Wed, Sep 7, 2011 at 9:08 AM, Samuel John <sc...@samueljohn.de> wrote: > > On 06.09.2011, at 22:13, David Cottrell wrote: > >> Thanks, I didn't realize dot was not just calling dgemm or some >> variant which I assume would be reasonably fast. I see dgemm appears >> in the numpy code in various places such as the lapack_lite module. >> >> I ran the svd test on the solaris setup and will check the OSX run >> when back at my laptop. 8.4 seconds is slightly slower than matlab but >> still seems reasonable. >> >> $ ./test_03.py >> No ATLAS: >> (1000, 1000) (1000,) (1000, 1000) >> 8.17235898972 > > I just ran your benchmark code on OSX 10.7.1 on an 2011 MacBook Pro (core-i7) > with numpy.version.version '2.0.0.dev-900d82e': > Using ATLAS: > ((1000, 1000), (1000,), (1000, 1000)) > 0.908223152161 > > cheers, > Samuel > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > -- David Cottrell +1 416 995 9860 http://ca.linkedin.com/in/dcottrell _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion