Reconfiguration control networks for TMR systems with module-based recovery

Dimitris Agiakatsikas, Nguyen T H Nguyen, Zhuoran Zhao, Tong Wu, Ediz Cetin, Oliver Diessel, Lingkan Gong

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

18 Citations (Scopus)

Abstract

Field-Programmable Gate Arrays (FPGAs) provide ideal platforms for meeting the computational requirements of future space-based processing systems. However, FPGAs are susceptible to radiation-induced Single Event Upsets (SEUs). Techniques for dynamically reconfiguring corrupted modules of Triple Modular Redundant (TMR) components are well known. However, most of these techniques utilize resources that are themselves susceptible to SEUs to transfer reconfiguration requests from the TMR voters to a central reconfiguration controller. This paper evaluates the impact of these Reconfiguration Control Networks (RCNs) on the system's reliability and performance. We provide an overview of RCNs reported in the literature and compare them in terms of dependability, scalability and performance. We implemented our designs on a Xilinx Artix-7 FPGA to assess the resulting resource utilization and performance as well as to evaluate their soft error vulnerability using analytical techniques. We show that of the RCN topologies studied, an ICAP-based approach is the most reliable despite having the highest network latency. We also conclude that a module-based recovery approach is less reliable than scrubbing unless the RCN is triplicated and repaired when it suffers configuration memory errors.

Original languageEnglish
Title of host publicationFCCM 2016
Subtitle of host publicationProceedings of the 24th IEEE International Symposium on Field-Programmable Custom Computing Machines
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages88-91
Number of pages4
ISBN (Electronic)9781509023561
DOIs
Publication statusPublished - 16 Aug 2016
Externally publishedYes
Event24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 - Washington, United States
Duration: 1 May 20163 May 2016

Other

Other24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016
CountryUnited States
CityWashington
Period1/05/163/05/16

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