A power management framework with simple DSL for automatic power-performance optimization on power-constrained HPC systems

Yasutaka Wada, Yuan He, Thang Cao, Masaaki Kondo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To design exascale HPC systems, power limitation is one of the most crucial and unavoidable issues; and it is also necessary to optimize the power-performance of user applications while keeping the power consumption of the HPC system below a given power budget. For this kind of power-performance optimization for HPC applications, it is indispensable to have enough information and good understanding about both the system specifications (what kind of hardware resources are included in the system, which component can be used as a “power-knob”, how to control the power-knob, etc.) and user applications (which part of the application is CPU-intensive, memory-intensive, and so on). Because this situation forces both the users and administrators of power-constrained HPC systems pay much effort and cost, it has been highly demanded to realize a simple framework to automate a power-performance optimization process, and to provide a simple user interface to the framework. To tackle these concerns, we propose and implement a versatile framework to help carry out power management and performance optimization on power-constrained HPC systems. In this framework, we also propose a simple DSL as an interface to utilize the framework. We believe this is a key to effectively utilize HPC systems under the limited power budget.

Original languageEnglish
Title of host publicationSupercomputing Frontiers - 4th Asian Conference, SCFA 2018, Proceedings
EditorsRio Yokota, Weigang Wu
PublisherSpringer Verlag
Pages199-218
Number of pages20
ISBN (Print)9783319699523
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event4th Asian Conference on Supercomputing Frontiers, SCFA 2018 - Singapore, Singapore
Duration: 2018 Mar 262018 Mar 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10776 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th Asian Conference on Supercomputing Frontiers, SCFA 2018
Country/TerritorySingapore
CitySingapore
Period18/3/2618/3/29

Keywords

  • HPC
  • Optimization
  • Performance
  • Power

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'A power management framework with simple DSL for automatic power-performance optimization on power-constrained HPC systems'. Together they form a unique fingerprint.

Cite this