Intel® oneAPI Math Kernel Library
Ask questions and share information with other developers who use Intel® Math Kernel Library.
7069 Discussions

Loading MKL slows down other libm function in centos 7.2, 7.3

shuoli
Beginner
604 Views

Hello,

After we load MKL libraries and execute a simple saxby in cblas libs, functions in libm  e.g. lrint becomes 5-10X slower.

This seams to be in Centos 7.2 and 7.3  running on Haswell based CPU such as E5-2640 v4.

We have been using the attached file with gcc to test this issue

It seems MKL loader leaves upper 128 bits of the AVX registers in an unhealthy state and if we call _mm256_zeroupper(); right after loading MKL, the slowness goes away. We still don’t know why the problem only shows up on 7.2 and 7.3.

We can see that, lrint becomes ~6X slower after loading MKL.

 

-bash-4.2$ /nfs/DEV/PLT/kezhao/test/slowness_mkl_test

handle in 0.128975 sys 0.000000 usr 0.129086 double is 50000000000000.000000

-bash-4.2$ /nfs/DEV/PLT/kezhao/test/slowness_mkl_test /nfs/software/D4C/tflex_d4c_nightly/main/LSF/lib/MKL/4.0/

Succeed to load MKL lib /nfs/software/D4C/tflex_d4c_nightly/main/LSF/lib/MKL/4.0/

handle in 0.768661 sys 0.000000 usr 0.768906 double is 50000000000000.000000

 

Test environment:

-bash-4.2$ cat /etc/redhat-release

CentOS Linux release 7.3.1611 (Core)

-bash-4.2$ uname -a

Linux dn110706 3.10.0-514.el7.x86_64 #1 SMP Tue Nov 22 16:42:41 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux

-bash-4.2$ lscpu|grep Intel

Vendor ID:             GenuineIntel

Model name:            Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz

 

Case

OS version

Glibc version

CPU type

MKL preloaded?

Slowness observed?

1

CentOS 7.2

2.17-105

Xeon E5-2640 v4

Yes

Yes

 

No

No

2

CentOS 7.3

2.17-157

Xeon Gold 6130

Yes

No

 

No

No

3

CentOS 7.3

2.17-157

Xeon E5-2640 v4

Yes

Yes

 

No

No

4

CentOS 7.8

2.17-307

Xeon E5-2650 v4

Yes

No

 

No

No

5

CentOS 6.7

2.12-1.166

Xeon Gold 6130

Yes

No

 

No

 

0 Kudos
1 Reply
Khang_N_Intel
Employee
587 Views

Hi Shuo,

 

I tried your code with the latest version of oneMKL, 2022.1, on Ubuntu 20.04 LTS and didn't see the slowdown that you mentioned.

Can you try the latest version of oneMKL and see if the problem goes away?

 

Best,

Khang

0 Kudos
Reply