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Title: Clover: Compiler directed lightweight soft error resilience

Abstract

This paper presents Clover, a compiler directed soft error detection and recovery scheme for lightweight soft error resilience. The compiler carefully generates soft error tolerant code based on idem-potent processing without explicit checkpoint. During program execution, Clover relies on a small number of acoustic wave detectors deployed in the processor to identify soft errors by sensing the wave made by a particle strike. To cope with DUE (detected unrecoverable errors) caused by the sensing latency of error detection, Clover leverages a novel selective instruction duplication technique called tail-DMR (dual modular redundancy). Once a soft error is detected by either the sensor or the tail-DMR, Clover takes care of the error as in the case of exception handling. To recover from the error, Clover simply redirects program control to the beginning of the code region where the error is detected. Lastly, the experiment results demonstrate that the average runtime overhead is only 26%, which is a 75% reduction compared to that of the state-of-the-art soft error resilience technique.

Authors:
 [1];  [1];  [1];  [2]
+ Show Author Affiliations
  1. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1261518
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
SIGPLAN
Additional Journal Information:
Journal Volume: 50; Journal Issue: 5; Conference: 16. ACM SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems (LCTES 2015), Portland, OR (United States), 18-19 Jun 2015; Journal ID: ISSN 0362-1340
Publisher:
ACM
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; soft error resilience; compilers; tail-DMR frontier; idempotent processing; acoustic wave detectors

Citation Formats

Liu, Qingrui, Lee, Dongyoon, Jung, Changhee, and Tiwari, Devesh. Clover: Compiler directed lightweight soft error resilience. United States: N. p., 2015. Web. doi:10.1145/2670529.2754959.
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Liu, Qingrui, Lee, Dongyoon, Jung, Changhee, & Tiwari, Devesh. Clover: Compiler directed lightweight soft error resilience. United States. https://doi.org/10.1145/2670529.2754959
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Liu, Qingrui, Lee, Dongyoon, Jung, Changhee, and Tiwari, Devesh. Fri . "Clover: Compiler directed lightweight soft error resilience". United States. https://doi.org/10.1145/2670529.2754959. https://www.osti.gov/servlets/purl/1261518.
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@article{osti_1261518,
title = {Clover: Compiler directed lightweight soft error resilience},
author = {Liu, Qingrui and Lee, Dongyoon and Jung, Changhee and Tiwari, Devesh},
abstractNote = {This paper presents Clover, a compiler directed soft error detection and recovery scheme for lightweight soft error resilience. The compiler carefully generates soft error tolerant code based on idem-potent processing without explicit checkpoint. During program execution, Clover relies on a small number of acoustic wave detectors deployed in the processor to identify soft errors by sensing the wave made by a particle strike. To cope with DUE (detected unrecoverable errors) caused by the sensing latency of error detection, Clover leverages a novel selective instruction duplication technique called tail-DMR (dual modular redundancy). Once a soft error is detected by either the sensor or the tail-DMR, Clover takes care of the error as in the case of exception handling. To recover from the error, Clover simply redirects program control to the beginning of the code region where the error is detected. Lastly, the experiment results demonstrate that the average runtime overhead is only 26%, which is a 75% reduction compared to that of the state-of-the-art soft error resilience technique.},
doi = {10.1145/2670529.2754959},
journal = {SIGPLAN},
number = 5,
volume = 50,
place = {United States},
year = {Fri May 01 00:00:00 EDT 2015},
month = {Fri May 01 00:00:00 EDT 2015}
}
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https://doi.org/10.1145/2670529.2754959
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