A self-scrubbing scheme for embedded systems in radiation environments

Yufan Lu, Xiaojun Zhai, Sangeet Saha, Shoaib Ehsan, Klaus McDonald-Maier

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

1 Citation (Scopus)

Abstract

As one of the most important components in the embedded systems, the SRAM are sensitive to radiation effects. When the embedded systems working in the extreme radiation environments, the bit flips could occur frequently and decrease the reliability of the systems significantly.In this paper, the self-scrubbing RAM scheme is proposed for light wight embedded systems in the extreme radiation environments. In the scheme, both scrubbing and ECC are used to mitigate the large number of the errors in the RAMs. The separately scrubber is designed to scrub the RAM separately. Therefore it is can be able to operating the scrubbing, when the CPUs are busy. In addition, the scrubber is a portable modules and the hardware costs do not grow with the size of the available RAM. The results of the real world radiation experiments show that it can correct most errors in the RAM under neutron radiation where the errors rates in unhardened RAMs is approximately 1.2 bit (KB h). The results of the 6 hours radiation experiments show that the error rates of in the conventional ECC RAM is approximately 4.3 × 10-4 bit/(KB h), while the self-scrubbing RAMs is less than 8.7 × 10-5 (KB h).

Original languageEnglish
Title of host publicationProceedings - 2020 26th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2020
PublisherIEEE
Number of pages4
ISBN (Electronic)9781728181875, 9781728181868
ISBN (Print)9781728181882
DOIs
Publication statusPublished - 5 Aug 2020
Externally publishedYes
Event26th IEEE International Symposium on On-Line Testing and Robust System Design - Virtual, Online, Italy
Duration: 13 Jul 202016 Jul 2020
Conference number: 26

Publication series

NameProceedings - 2020 26th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2020
PublisherIEEE
ISSN (Print)1942-9398
ISSN (Electronic)1942-9401

Conference

Conference26th IEEE International Symposium on On-Line Testing and Robust System Design
Abbreviated titleIOLTS 2020
Country/TerritoryItaly
CityVirtual, Online
Period13/07/2016/07/20

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