Brian Granger schrieb: >> I am curious: would you know what would be different in numpy's case >> compared to matlab array model concerning locks ? Matlab, up to >> recently, only spreads BLAS/LAPACK on multi-cores, but since matlab 7.3 >> (or 7.4), it also uses multicore for mathematical functions (cos, >> etc...). So at least in matlab's model, it looks like it can be useful. >> > > Good point. Is it possible to tell what array size it switches over > to using multiple threads? Also, do you happen to iknow how Matlab is > doing this? > > Recent Matlab versions use Intels Math Kernel Library, which performs automatic multi-threading - also for mathematical functions like sin etc, but not for addition, multiplication etc. It seems to me Matlab itself does not take care of multi-threading. On http://www.intel.com/software/products/mkl/data/vml/functions/_listfunc.html you can have a look at the performance data of the MKL vectorized math functions. Around a vector length between 100-1000, depending on which function, precision, cpu architecture, they switch to multi-threading.
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