On 12/12/19 6:35 AM, Douglas Eadline wrote:
Anyone see anything like this with Epyc, i.e. poor AMD performance
when using Intel compilers or MKL?
https://www.pugetsystems.com/labs/hpc/AMD-Ryzen-3900X-vs-Intel-Xeon-2175W-Python-numpy---MKL-vs-OpenBLAS-1560/
I as getting anomalously slow performance with Matlab on AMD Rome. Turns out
Matlab uses the MKL and Intel ignores the AMD vector unit, despite the CPU
capability flag showing that AMD support AVX2-256.
Turns out "export MKL_DEBUG_CPU_TYPE=5" fixed it. The improvement is highly
variable, but in one case was 6x faster.
Awhile back I tinkered with AOCC, AMD's tweak of clang/flang for Zen. Had
issues compiling OpenMPI (and dependencies), fftw3, OpenBLAS and friends. I
tried again with AOCC-2.1 and had no problems. Generally things are looking
good and we are considering supporting an AOCC based platform for our users to
make the most of the AMD Rome chips. Kudos to AMD for working on AOCC and
working on upstreaming the changes to the numerous projects involved.
Related projects of possible interest:
AMD FFTW3 = https://github.com/amd/amd-fftw
BLIS/BLAS = https://github.com/amd/blis
AMD Math library/Libm =
http://developer.amd.com/amd-cpu-libraries/amd-math-library-libm/
AMD LAPACK/Libflame = https://github.com/amd/libflame
AMD Clang/Flang/LLVM = https://developer.amd.com/amd-aocc/
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