Multi-node Power/Performance Modeling for HPC System

Sangwoo Han, Tae Yang Jeong, Eui Young Chung

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

Abstract

High Performance Computing (HPC) System refers to using a cluster of hundreds or more processing nodes for application which requires a lot of computation. The need for HPC systems has increased in recent years as more applications require a lot of computations such as Deep learning and AI. Various tools and techniques are being developed and researched to efficiently operate HPC systems in line with this need. In this paper, we develop multi-node power/performance modeling. This will help HPC system users to predict power and performance before they configure the system so that they can implement the optimal HPC system for programmers. Power and performance prediction modeling achieves 90% accuracy and takes less than an hour to predict.

Original languageEnglish
Title of host publication34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132716
DOIs
Publication statusPublished - 2019 Jun
Event34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019 - JeJu, Korea, Republic of
Duration: 2019 Jun 232019 Jun 26

Publication series

Name34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019

Conference

Conference34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
Country/TerritoryKorea, Republic of
CityJeJu
Period19/6/2319/6/26

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture

Fingerprint

Dive into the research topics of 'Multi-node Power/Performance Modeling for HPC System'. Together they form a unique fingerprint.

Cite this