I recompiled my installation of numpy and scipy agaisnt Intel MKL. I am trying to speed up a script that fits tensor for DT MRI. The script bottlenecks during the svd operation, in particular the call to numpy.linalg.lapack_lite.dgesdd inside the svd function is very slow. Slow in the sense that I ran this calculation using the default ATLAS and now with MKL the speedup is negiigible. The thing I noticed is like ATLAS, Intel MKL is only using one core for the bulk of the SVD calculations.
I found this topic
and he says because SVD is BLAS 2 it is usually single threaded but will be mutlithreaded on newer processors. I haev an Intel i7 2630QM(Sandy Architecture) processor and am running the latest Intel MKL build(11). Should I be experiencing multiple thread use and if so, how can I obtain that? I'm not sure what other information would be helpful to provide, but I can provide whatever you need to help me. Thanks in advance!