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Hi,
I've found in my benchmark that compared with MKL 7.2, in the release 10.1.1.019 for Linux, cblas_dgemm slows down a lot when matrix size is amall and beta is set to 0 on Pentium 4 machine.
Is this a known issue? Has it been fixed?
Thanks a lot!
I've found in my benchmark that compared with MKL 7.2, in the release 10.1.1.019 for Linux, cblas_dgemm slows down a lot when matrix size is amall and beta is set to 0 on Pentium 4 machine.
Is this a known issue? Has it been fixed?
Thanks a lot!
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Quoting - xearthl
I've found in my benchmark that compared with MKL 7.2, in the release 10.1.1.019 for Linux, cblas_dgemm slows down a lot when matrix size is amall and beta is set to 0 on Pentium 4 machine.
Is this a known issue? Has it been fixed?
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Quoting - xearthl
Hi,
I've found in my benchmark that compared with MKL 7.2, in the release 10.1.1.019 for Linux, cblas_dgemm slows down a lot when matrix size is amall and beta is set to 0 on Pentium 4 machine.
Is this a known issue? Has it been fixed?
Thanks a lot!
I've found in my benchmark that compared with MKL 7.2, in the release 10.1.1.019 for Linux, cblas_dgemm slows down a lot when matrix size is amall and beta is set to 0 on Pentium 4 machine.
Is this a known issue? Has it been fixed?
Thanks a lot!
Hello,
First of all the newest version of MKL 10.2 Update 2 is available now at the Registration Center.
Could you tell please what is the size of your matrix?
Thanks,
Art
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Quoting - Artem Vorobiev (Intel)
Hello,
First of all the newest version of MKL 10.2 Update 2 is available now at the Registration Center.
Could you tell please what is the size of your matrix?
Thanks,
Art
Hi,
The execution time doubles when the matrix is 32*32 in my benchmark.
Thanks,
xearthl
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Hi xearthl,
I compared MKL 7.2 and MKL 10.2 Update 2 and obtained about 15% increase in preformance with MKL 10.2 Update 2.
I performed multiplication of 10000 random matrices of size 32*32 using the code like this:
start_time = dsecnd();
for(i = 0; i < 10000; i++)
{
cblas_dgemm(...);
}
end_time = dsecnd();
printf("Execution time in seconds: %fn", tend - tstart);
Could you please provide an example of code that causes the performance slow down?
Thanks,
Art
I compared MKL 7.2 and MKL 10.2 Update 2 and obtained about 15% increase in preformance with MKL 10.2 Update 2.
I performed multiplication of 10000 random matrices of size 32*32 using the code like this:
start_time = dsecnd();
for(i = 0; i < 10000; i++)
{
cblas_dgemm(...);
}
end_time = dsecnd();
printf("Execution time in seconds: %fn", tend - tstart);
Could you please provide an example of code that causes the performance slow down?
Thanks,
Art
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Hi Art,
Thanks a lot for your great effort!
I haven't try the latest version. But it used to only slow down when beta is set to 0.
Thanks,
xearthl
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