Quality optimization of resilient applications under temperature constraints

Heng Yu, Yajun Ha, Jing Wang

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

5 Citations (Scopus)

Abstract

Inherent resilience of applications enables the design paradigm of approximate computing that exploits computation in-exactness by trading off output quality for runtime system resources. When executing such quality-scalable applications on multiprocessor embedded systems, it is expected not only to achieve the highest possible output quality, but also to handle the critical thermal challenge spurred by vastly increased chip density. While the rising temperature causes significant quality distortion at runtime, existing thermal-management techniques, such as dynamic frequency scaling, rarely take into account the trade-off possibilities between output quality and thermal budget. In this paper, we explore the application-level quality-scaling features of resilient applications to achieve effective temperature control as well as quality maximization. We propose an efficient iterative pseudo quadratic programming heuristic to decide the optimal frequency and application execution cycles, in order to achieve quality optimization, under temperature, timing, and energy constraints. Our approaches are evaluated using realistic benchmarks with known platform thermal parameters. The proposed methods show a 98.5% quality improvement with temperature violation awareness.

Original languageEnglish
Title of host publicationACM International Conference on Computing Frontiers 2017, CF 2017
PublisherAssociation for Computing Machinery, Inc
Pages9-16
Number of pages8
ISBN (Electronic)9781450344876
DOIs
Publication statusPublished - 15 May 2017
Externally publishedYes
Event14th ACM International Conference on Computing Frontiers, CF 2017 - Siena, Italy
Duration: 15 May 201717 May 2017

Publication series

NameACM International Conference on Computing Frontiers 2017, CF 2017

Conference

Conference14th ACM International Conference on Computing Frontiers, CF 2017
Country/TerritoryItaly
CitySiena
Period15/05/1717/05/17

Keywords

  • Dynamic frequency scaling
  • Execution quality
  • Real-time computing
  • Resilient application
  • Thermal-leakage

ASJC Scopus subject areas

  • Computer Science (all)

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