On Fri, Feb 27, 2015 at 9:02 AM, Mads Ipsen mads.ipsen@gmail.com wrote:

Hi,

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?

Best regards,

Mads

specs:

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?

Chuck

On 27/02/15 17:50, Charles R Harris wrote:

On Fri, Feb 27, 2015 at 9:02 AM, Mads Ipsen <mads.ipsen@gmail.com mailto:mads.ipsen@gmail.com> wrote:

Hi,

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?

Best regards,

Mads

specs:

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?

Chuck

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I have now tested and reproduced this on two different Ubuntu 12.04 boxes. Both were tested with a vanilla Python-2.7.9 install and two different MKL setups

*) composer_xe_2015.2.164 icc (ICC) 15.0.2 20150121 ifort (IFORT) 15.0.2 20150121

build: python setup.py build --compiler=intelem python setup.py install

*) composer_xe_2013_sp1.1.106 ifort (IFORT) 14.0.1 20131008 gcc version 4.6.3

build: python setup.py config --compiler=unix config_fc --fcompiler=intelem install

On both setups I use the following site.cfg

[mkl] library_dirs = /path_to_intel_composer/mkl/lib/intel64/ include_dirs = /path_to_intel_composer/mkl/lib/intel64/mkl/include/ mkl_libs = mkl_rt lapack_libs =

If I omit the MKL setup (i.e. build without) the 400 MB memory goes away.

If I by any means can provide you with some valuable info, please let me know.

Best regards,

Mads