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A Lifetime-Aware Runtime Mapping Approach for Many-core Systems in the Dark Silicon Era
KTH, School of Information and Communication Technology (ICT), Industrial and Medical Electronics.
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2016 (English)In: PROCEEDINGS OF THE 2016 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), IEEE conference proceedings, 2016, 854-857 p.Conference paper (Refereed)
Abstract [en]

In this paper, we propose a novel lifetime reliability-aware resource management approach for many-core architectures. The approach is based on hierarchical architecture, composed of a long-term runtime reliability analysis unit and a short-term runtime mapping unit. The former periodically analyses the aging status of the various processing units with respect to a target value specified by the designer, and performs recovery actions on highly stressed cores. The calculated reliability metrics are utilized in runtime mapping of the newly arrived applications to maximize the performance of the system while fulfilling reliability requirements and the available power budget. Our extensive experimental results reveal that the proposed reliability-aware approach can efficiently select the processing cores to be used over time in order to enhance the reliability at the end of the operational life (up to 62%) while offering the comparable performance level of the state-of-the-art runtime mapping approach.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016. 854-857 p.
, Design, Automation, and Test in Europe Conference and Exhibition, ISSN 1530-1591
Keyword [en]
Dark Silicon, Lifetime Reliability, Many-core Architectures, Mapping, Runtime Management
National Category
Computer Engineering
URN: urn:nbn:se:kth:diva-193867ISI: 000382679200158ScopusID: 2-s2.0-84973622885ISBN: 978-3-9815-3707-9OAI: diva2:1034215
Design, Automation and Test in Europe Conference and Exhibition (DATE), MAR 14-18, 2016, Dresden, GERMANY

QC 20161011

Available from: 2016-10-11 Created: 2016-10-11 Last updated: 2016-10-11Bibliographically approved

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Miele, AntonioRahmani, Amir M.Tenhunen, Hannu
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