27 Feb 2015 27 Feb '15
On Fri, Feb 27, 2015 at 9:02 AM, Mads Ipsen firstname.lastname@example.org wrote:
If I build Python 2.7.2 and numpy-1.9.1 and run the following script
import numpy c = numpy.ones((500000, 4)) mat = numpy.identity(4) r = numpy.dot(c, mat)
the evaluation of the 'dot' increases the memory by app. 35 MB.
If, in addition, I build numpy-1.9.1 with MKL support, and run the script, the evaluation of the 'dot' increases the memory by app. 450 MB.
Is the expected?
Ubuntu 12.04 ifort (IFORT) 14.0.1 2013100 gcc version 4.6.3 (Ubuntu/Linaro 4.6.3-1ubuntu5)
No, but I don't know why that is happening with MKL. Can anyone else reproduce this?