DVFS-Based scrubbing scheduling for reliability maximization on parallel tasks in SRAM-based FPGAs

Rui Li, Heng Yu, Weixiong Jiang, Yajun Ha

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

To obtain high reliability but avoiding the huge area overhead of traditional triple modular redundancy (TMR) methods in SRAM-based FPGAs, scrubbing based methods reconfigure the configuration memory of each task just before its execution. However, due to the limitation of the FPGA reconfiguration module that can only scrub one task at a time, parallel tasks may leave stringent timing requirements to schedule their scrubbing processes. Thus the scrubbing requests may be either delayed or omitted, leading to a less reliable system. To address this issue, we propose a novel optimal DVFS-based scrubbing algorithm to adjust the execution time of user tasks, thus significantly enhance the chance to schedule scrubbing successfully for parallel tasks. Besides, we develop an approximation algorithm to speed up its optimal version and develop a novel K-Means based method to reduce the memory usage of the algorithm. Compared to the state-of-the-art, experimental results show that our work achieves up to 36.11% improvement on system reliability with comparable algorithm execution time and memory consumption.

Original languageEnglish
Title of host publication2020 57th ACM/IEEE Design Automation Conference, DAC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450367257
DOIs
Publication statusPublished - Jul 2020
Event57th ACM/IEEE Design Automation Conference, DAC 2020 - Virtual, San Francisco, United States
Duration: 20 Jul 202024 Jul 2020

Publication series

NameProceedings - Design Automation Conference
Volume2020-July
ISSN (Print)0738-100X

Conference

Conference57th ACM/IEEE Design Automation Conference, DAC 2020
Country/TerritoryUnited States
CityVirtual, San Francisco
Period20/07/2024/07/20

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation

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