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Throughput Optimization for Lifetime Budgeting in Many-Core Systems

Published: 10 May 2017 Publication History

Abstract

Due to technology scaling, lifetime reliability is becoming one of major design constraints in the design of future many-core systems. In this paper, we propose a novel runtime mapping scheme which could dynamically map the applications given a lifetime reliability constraint. A borrowing strategy is adopted to manage the lifetime in a long-term scale, and the lifetime constraint could be relaxed in short-term scale when the communication performance requirement is high. The throughput could be improved because the communication performance of communication intensive applications is optimized, and meanwhile the waiting time of computation intensive application is reduced. Furthermore, an improved neighborhood allocation method is proposed for the runtime mapping scheme. The experimental results show that compared to the state-of-the-art lifetime-constrained mapping, the proposed mapping scheme could have over 20% throughput improvement.

References

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M. H. Haghbayan and et al. A lifetime-aware runtime mapping approach for many-core systems in the dark silicon era. In Proc of DATE, pages 854--857, 2016.
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Cited By

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  • (2020)Tasks mapping in the network on a chip using an improved optimization algorithmInternational Journal of Pervasive Computing and Communications10.1108/IJPCC-07-2019-005316:2(165-182)Online publication date: 23-Apr-2020
  • (2019)A Lifetime Reliability-Constrained Runtime Mapping for Throughput Optimization in Many-Core SystemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2018.285516838:9(1771-1784)Online publication date: 1-Sep-2019
  • (2017)Runtime task mapping for lifetime budgeting in many-core systems2017 Forum on Specification and Design Languages (FDL)10.1109/FDL.2017.8303900(1-8)Online publication date: Sep-2017

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cover image ACM Conferences
GLSVLSI '17: Proceedings of the Great Lakes Symposium on VLSI 2017
May 2017
516 pages
ISBN:9781450349727
DOI:10.1145/3060403
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 May 2017

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Author Tags

  1. lifetime reliability constraint
  2. many-core systems
  3. runtime mapping
  4. throughput

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  • Research-article

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GLSVLSI '17
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GLSVLSI '17: Great Lakes Symposium on VLSI 2017
May 10 - 12, 2017
Alberta, Banff, Canada

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GLSVLSI '17 Paper Acceptance Rate 48 of 197 submissions, 24%;
Overall Acceptance Rate 312 of 1,156 submissions, 27%

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Cited By

View all
  • (2020)Tasks mapping in the network on a chip using an improved optimization algorithmInternational Journal of Pervasive Computing and Communications10.1108/IJPCC-07-2019-005316:2(165-182)Online publication date: 23-Apr-2020
  • (2019)A Lifetime Reliability-Constrained Runtime Mapping for Throughput Optimization in Many-Core SystemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2018.285516838:9(1771-1784)Online publication date: 1-Sep-2019
  • (2017)Runtime task mapping for lifetime budgeting in many-core systems2017 Forum on Specification and Design Languages (FDL)10.1109/FDL.2017.8303900(1-8)Online publication date: Sep-2017

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