A Wednesday 24 February 2010 20:32:57 Francesc Alted escrigué: > Until now, I'm testing Blosc speed mainly in a couple of computers, so if > anybody wants to help me in seeing the performance in other computers, > please run the attached benchmark and return the output back, together > with their processor information (speed, cache sizes, model), compiler > version and operating system info. > > Also, I'm attaching the output for my computer (Core2 @ 2GHz, 32 KB L1 > cache, 6 MB L2 shared cache, Intel E8400, gcc 4.4.1, Linux) for comparison > purposes, in case anyone is interested.
Just a quick follow-up. I've setup-up a new page explaining the advantages of PyTables as an efficient computing kernel: http://pytables.org/moin/ComputingKernel On it, I'm using an updated version of the poly.py script that I've attached on my previous message. So, if anyone is willing to run the script on its own machine, please fetch the version attached to the page above instead. Thanks, -- Francesc Alted ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
