Steve Lianoglou wrote: > Hi Rex, > >> Thank you for taking the time to write such a detailed explanation. If >> only the documentation were so detailed... > > Now that you've gone through your odyssey trying to numpy/scipy w/ > this particular combo (SuSE/MKL/IntelCC), now would be a great time > to whip up wiki page ... you know .. for the documentation ;-) > >> So the rpm version only takes ~17% longer to run this program. I'm >> surprised >> that there isn't a larger difference. Perhaps there will be in a >> different type of program. BTW, the cpu is an Intel e6600 Core 2 Duo >> overclocked to 3.06 GHz (it will run reliably at 3.24 GHz). > > That's not so bad, though, is it? I'd also be interested in seeing > some more benchmarks though .. I wonder if there is a standard > benchmarking suite somewhere .. > The code used for this benchmark uses only two few functions: poisson and sum, and I wouldn't be suprised that a lot of code is spent in python (vs in the core C functions), where the intel compiler doesn't make a big difference. Does this code uses the MKL at all ? The MKL gives an optimized fft and BLAS/LAPACK, right ?
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