compare NumPy vs. NumPy+MKL performance
As far as I know the only way is to compile NumPy again without MKL, preferably in a virtualenv....
So, I compiled NumPy from source, linking to MKL. Now I want to compare NumPy's performance with and without MKL. Is there any way I can "tell" NumPy not to use MKL, so I can produce the benchmarks? For instance, with numExpr we can do numexpr.use_vml = False. Is there anything similar for NumPy? I really don't wanna have to compile NumPy without MKL just for this.
(Ubuntu 12.04, Python 2.7.3, NumPy 1.8, Intel Composer XE 2013 SP1)