Early work on modeling computational sprinting

Nathaniel Morris, Christopher Stewart, Robert Birke, Lydia Chen, Jaimie Kelley

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Ever tightening power caps constrain the sustained processing speed of modern processors. With computational sprinting, processors reserve a small power budget that can be used to increase processing speed for short bursts. Computational sprinting speeds up query executions that would otherwise yield slow response time. Common mechanisms used for sprinting include DVFS, core scaling, CPU throttling and application-specific accelerators.

Original languageEnglish
Title of host publicationSoCC 2017 - Proceedings of the 2017 Symposium on Cloud Computing
PublisherAssociation for Computing Machinery (ACM)
Pages1
Number of pages1
ISBN (Electronic)9781450350280
DOIs
Publication statusPublished - 24 Sep 2017
Externally publishedYes
Event2017 Symposium on Cloud Computing, SoCC 2017 - Santa Clara, United States
Duration: 24 Sep 201727 Sep 2017

Conference

Conference2017 Symposium on Cloud Computing, SoCC 2017
Country/TerritoryUnited States
CitySanta Clara
Period24/09/1727/09/17

Keywords

  • Computational sprinting
  • CPU throttling
  • Prediction accuracy
  • Queuing models
  • Resource management
  • Simulation

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