File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

이종은

Lee, Jongeun
Intelligent Computing and Codesign Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.endPage 27 -
dc.citation.number 2 -
dc.citation.startPage 1 -
dc.citation.title ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS -
dc.citation.volume 11 -
dc.contributor.author Lee, Jongeun -
dc.contributor.author Shrivastava, Aviral -
dc.date.accessioned 2023-12-22T05:07:14Z -
dc.date.available 2023-12-22T05:07:14Z -
dc.date.created 2013-06-17 -
dc.date.issued 2012-07 -
dc.description.abstract Processor Idle Cycle Aggregation (PICA) is a promising approach for low-power execution of processors, in which small memory stalls are aggregated to create large ones, enabling profitable switch of the processor into low-power mode. We extend the previous approach in three dimensions. First we develop static analysis for the PICA technique and present optimal parameters for five common types of loops based on steady-state analysis. Second, to remedy the weakness of software-only control in varying environment, we enhance PICA with minimal hardware extension that ensures correct execution for any loops and parameters, thus greatly facilitating exploration-based parameter tuning. Third, we demonstrate that our PICA technique can be applied to certain types of nested loops with variable bounds, thus enhancing the applicability of PICA. We validate our analytical model against simulation-based optimization and also show, through our experiments on embedded application benchmarks, that our technique can be applied to a wide range of loops with average 20% energy reductions, compared to executions without PICA. -
dc.identifier.bibliographicCitation ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, v.11, no.2, pp.1 - 27 -
dc.identifier.doi 10.1145/2220336.2220338 -
dc.identifier.issn 1539-9087 -
dc.identifier.scopusid 2-s2.0-84864648720 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/3507 -
dc.identifier.url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84864648720 -
dc.identifier.wosid 000307052900001 -
dc.language 영어 -
dc.publisher ASSOC COMPUTING MACHINERY -
dc.title PICA: Processor Idle Cycle Aggregation for Energy-Efficient Embedded Systems -
dc.type Article -
dc.relation.journalWebOfScienceCategory Computer Science, Hardware & Architecture; Computer Science, Software Engineering -
dc.relation.journalResearchArea Computer Science -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Algorithms -
dc.subject.keywordAuthor Design -
dc.subject.keywordAuthor Low power -
dc.subject.keywordAuthor code transformation -
dc.subject.keywordAuthor embedded systems -
dc.subject.keywordAuthor memory bound loops -
dc.subject.keywordAuthor processor free time -
dc.subject.keywordAuthor stall cycle aggregation -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.