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ApproxMap: On task allocation and scheduling for resilient applications

  • Juan Yi
  • , Qian Zhang
  • , Ye Tian
  • , Ting Wang
  • , Weichen Liu
  • , Edwin H.M. Sha
  • , Qiang Xu
  • Chongqing University
  • Chinese University of Hong Kong

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Many emerging applications are inherently error-resilient and hence do not require exact computation. In this paper, we consider the task allocation and scheduling problem for mapping such applications to voltage-scalable multiprocessor systems. The proposed solution, namely ApproxMap, judiciously determines the mapping and execution sequence of resilient tasks to minimize the energy consumption of the application while meeting their target quality requirements and timing constraints. To be specific, ApproxMap generates energy-efficient yet flexible task schedule at design-time, and conducts lightweight online adjustment according to runtime dynamics for further energy-efficiency improvement. Experimental results on various task graphs demonstrate the efficacy of ApproxMap.

源语言英语
主期刊名2016 21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016
出版商Institute of Electrical and Electronics Engineers Inc.
318-323
页数6
ISBN(电子版)9781467395694
DOI
出版状态已出版 - 7 3月 2016
已对外发布
活动21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016 - Macao, 澳门
期限: 25 1月 201628 1月 2016

出版系列

姓名Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
25-28-January-2016

会议

会议21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016
国家/地区澳门
Macao
时期25/01/1628/01/16

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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