Efficient and precise profiling, modeling and management on power and performance for power constrained hpc systems

Yuan HE, Yasutaka WADA, Wenchao LUO, Ryuichi SAKAMOTO, Guanqin PAN, Thang CAO, Masaaki KONDO

Research output: Contribution to journalArticlepeer-review

Abstract

Due to the slowdown of Moore's Law, power limitation has been one of the most critical issues for current and future HPC systems. To more efficiently utilize HPC systems when power budgets or deadlines are given, it is very desirable to accurately estimate the performance or power consumption of applications before conducting their tuned production runs on any specific systems. In order to ease such estimations, we showcase a straight-forward and yet effective method, based on the enhanced power management framework and DSL we developed, to help HPC users to clarify the performance and power relationships of their applications. This method demonstrates an easy process of profiling, modeling and management on both performance and power of HPC systems and applications. In our evaluations, only a few (up to 3) profiled runs are necessary before very precise models of HPC applications can be obtained through this method (and algorithm), which has dramatically improved the efficiency of and lowered the difficulty in utilizing HPC systems under limited power budgets.

Original languageEnglish
Pages (from-to)237-246
Number of pages10
JournalIEICE Transactions on Electronics
Volume1
Issue number6
DOIs
Publication statusPublished - 2021 Jun 1
Externally publishedYes

Keywords

  • Capping
  • HPC
  • Modeling
  • Performance
  • Power
  • Profiling

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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