AMD P-State EPP Performance With EPYC On Linux 6.3

Written by Michael Larabel in Software on 3 April 2023 at 11:30 AM EDT. Page 5 of 6. 9 Comments.
GROMACS benchmark with settings of Implementation: MPI CPU, Input: water_GMX50_bare. amd_pstate_epp performance balance_performance was the fastest.
GROMACS benchmark with settings of Implementation: MPI CPU, Input: water_GMX50_bare. amd_pstate_epp performance balance_performance was the fastest.
GROMACS benchmark with settings of Implementation: MPI CPU, Input: water_GMX50_bare. amd_pstate_epp performance balance_performance was the fastest.

For GROMACS there was a slight performance-per-Watt advantage to using P-State EPP.

TensorFlow benchmark with settings of Device: CPU, Batch Size: 256, Model: GoogLeNet. amd_pstate performance was the fastest.
TensorFlow benchmark with settings of Device: CPU, Batch Size: 256, Model: GoogLeNet. amd_pstate performance was the fastest.
TensorFlow benchmark with settings of Device: CPU, Batch Size: 256, Model: GoogLeNet. amd_pstate performance was the fastest.

TensorFlow also enjoyed a tiny performance-per-Watt advantage over the rest when it came to AMD P-State EPP with the powersave governor and balance_performance preference.

nginx benchmark with settings of Connections: 500. amd_pstate_epp performance performance was the fastest.
nginx benchmark with settings of Connections: 500. amd_pstate_epp performance performance was the fastest.
nginx benchmark with settings of Connections: 500. amd_pstate_epp performance performance was the fastest.

For the Nginx HTTPS server performance there was barely a difference besides the sluggish amd_pstate powersave.


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