Power-aware computing: Measurement, control, and performance analysis for Intel Xeon Phi

Azzam Haidar, Heike Jagode, Asim Yarkhan, Phil Vaccaro, Stanimire Tomov, Jack Dongarra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

The emergence of power efficiency as a primary constraint in processor and system designs poses new challenges concerning power and energy awareness for numerical libraries and scientific applications. Power consumption also plays a major role in the design of data centers in particular for peta- A nd exa-scale systems. Understanding and improving the energy efficiency of numerical simulation becomes very crucial. We present a detailed study and investigation toward controlling power usage and exploring how different power caps affect the performance of numerical algorithms with different computational intensities, and determine the impact and correlation with performance of scientific applications. Our analyses is performed using a set of representatives kernels, as well as many highly used scientific benchmarks. We quantify a number of power and performance measurements, and draw observations and conclusions that can be viewed as a roadmap toward achieving energy efficiency computing algorithms.

Original languageEnglish
Title of host publication2017 IEEE High Performance Extreme Computing Conference, HPEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538634721
DOIs
StatePublished - Oct 30 2017
Event2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 - Waltham, United States
Duration: Sep 12 2017Sep 14 2017

Publication series

Name2017 IEEE High Performance Extreme Computing Conference, HPEC 2017

Conference

Conference2017 IEEE High Performance Extreme Computing Conference, HPEC 2017
Country/TerritoryUnited States
CityWaltham
Period09/12/1709/14/17

Funding

This material is based upon work supported in part by the National Science Foundation NSF under awards No. 1450429 "Performance Application Programming Interface for Extreme-scale Environments (PAPI-EX)" and No. 1514286.

FundersFunder number
National Science Foundation NSF
Programming Interface for Extreme-scale Environments1514286
National Science Foundation1450429
National Science Foundation

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