跳到主要导航 跳到搜索 跳到主要内容

Throughput optimization for lifetime budgeting in many-core systems

  • Liang Wang
  • , Xiaohang Wang
  • , Ho Fung Leung
  • , Terrence Mak
  • Chinese University of Hong Kong
  • South China University of Technology
  • University of Southampton
  • Chinese Academy of Sciences
  • Shenzhen Institute of Advanced Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Due to technology scaling, lifetime reliability is becoming one of major design constraints in the design of future manycore 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 shortterm 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 lifetimeconstrained mapping, the proposed mapping scheme could have over 20% throughput improvement.

源语言英语
主期刊名GLSVLSI 2017 - Proceedings of the Great Lakes Symposium on VLSI 2017
出版商Association for Computing Machinery
451-454
页数4
ISBN(电子版)9781450349727
DOI
出版状态已出版 - 10 5月 2017
已对外发布
活动27th Great Lakes Symposium on VLSI, GLSVLSI 2017 - Banff, 加拿大
期限: 10 5月 201712 5月 2017

出版系列

姓名Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
Part F127756

会议

会议27th Great Lakes Symposium on VLSI, GLSVLSI 2017
国家/地区加拿大
Banff
时期10/05/1712/05/17

指纹

探究 'Throughput optimization for lifetime budgeting in many-core systems' 的科研主题。它们共同构成独一无二的指纹。

引用此