topic Hi Ying, in Intel® oneAPI Math Kernel Library

CNR setting does not work as expected

Maximilian_B_ — Mon, 29 Aug 2016 12:09:57 GMT

I am working on different machines (notebook and cloud, all Win7) and thus want to set CNR manually to get reproducible results (e.g. when working with Matlab).

Thus, and using the latest MKL version, I run the following in cmd:

cd "C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.3.207\windows\mkl\bin"
@call mklvars.bat intel64 && set MKL_CBWR=SSE2 && set BLAS_VERSION=mkl_rt.dll && set LAPACK_VERSION=mkl_rt.dll
"C:\Program Files\MATLAB\R2016a\bin\matlab.exe"

Matlab starts and uses the latest MKL version, as expected.

However, the CNR branch does not change and is still AVX2 (not SSE2, as requested).

Can you help me with that? Thank you!

Hi Maximilian,

Ying_H_Intel — Tue, 30 Aug 2016 02:30:06 GMT

Hi Maximilian,

We will check this. Could you please let us know how do you check "the CNR branch does not change and is still AVX2 (not SSE2, as requested)."

Best Regards,

Ying

Thank you for your fast reply

Maximilian_B_ — Tue, 30 Aug 2016 08:10:00 GMT

Thank you for your fast reply. I give some more information:

I loaded Matlab (2016a) without changing anything and then ran

version -blas

in the Matlab command shell, which gave me following information:

Intel(R) Math Kernel Library Version 11.2.3 Product Build 20150413 for Intel(R) 64 architecture applications, 
CNR branch AVX2

This is the default MKL shipped with Matlab. I then downloaded the latest Intel MKL and Microsoft Visual Studio and ran the above code in the hope to compile a new MKL with CNR set to SSE2 (which is the setting on my cloud, that I cannot change).

In the new Matlab which opens, I run the version check again and get following

Intel(R) Math Kernel Library Version 11.3.3 Product Build 20160413 for Intel(R) 64 architecture applications, 
CNR branch AVX2

Thus, Matlab now uses the latest MKL version, however CNR is still set to AVX2 and not SSE2.

Thats what I would like to change to get reproducible results from the cloud machines and my notebook.

Hi Max,

Ying_H_Intel — Tue, 30 Aug 2016 08:35:12 GMT

Hi Max,

Thanks for let us know.

We can see the problem as well. Will test the latest MKL version and let you know.

But how about you use Matlab directly? i guess, this may beyond of our control as Matlab have MKL build in and may be have CNR set internally. Moreover , change to the unsupported MKL version was undocumented feature and we do not guarantee that it works with addon feature.

Best Regards,

Ying

Hi Ying,

Maximilian_B_ — Tue, 30 Aug 2016 09:28:40 GMT

Hi Ying,

thank you very much. It would be great if you could have a look at this issue.

I asked the Matlab support whether Matlab overrides the CNR setting in environment variable MKL_CBWR, or whether CNR has to be set differently to work in Matlab. I am waiting for an answer so far.

Best,

Max

Hi Max,

Ying_H_Intel — Wed, 31 Aug 2016 07:38:30 GMT

Hi Max,

Thanks for the update.

We tested Matlab2015b with the latest version MKL 2017, it seems there are some changes when load modules (below) . but it still uses AVX2 dll at my sides(when run A*B). You may suppose to get MKL 2017 next month, please let us know if any result.

Best Regards,
Ying

MKL 11.3.3 in Matlab 2015b

We use “version –module”, when load mkl_rt.dll, it will load

mkl_avx2.dll

mkl_core.dll

mkl_intel_thread.dll

automatically.

MKL 2017 in Matlab 2015b

We use “version –module”, when load mkl_rt.dll, it will load two of them

mkl_core.dll

mkl_intel_thread.dll

automatically.

Hi Ying,

Maximilian_B_ — Wed, 31 Aug 2016 13:55:28 GMT

Hi Ying,

thanks for the investigation. I ran my Matlab 2016a with both versions of MKL (the one shipped with Matlab and the current) and found under "version -modules" only the following MKL related files:

MKL 11.3.3, Matlab 2016a

C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.3.207\windows\redist\intel64\mkl\mkl_core.dll Version 11.3
C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.3.207\windows\redist\intel64\mkl\mkl_intel_thread.dll Version 11.3
C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2016.3.207\windows\redist\intel64\mkl\mkl_rt.dll Version 11.3

MKL 11.2.3 (shipped with Matlab), Matlab 2016a

C:\Program Files\MATLAB\R2016a\bin\win64\mkl.dll Version <unknown>

So it seems that an AVX related file is not even loaded in my case. But checking with "version -blas", I find that under both circumstances (and with environment variable MKL_CBWR in Windows set to SSE2) the CNR is still set to AVX2.

I will download the new MKL 2017 as soon as released and give an update.