SymptomTM: Symptom-Based Error Detection and Recovery Using Hardware Transactional Memory

  • Authors:

  • Gulay Yalcin;Osman S. Unsal;Adrian Cristal;Ibrahim Hur;Mateo Valero

  • Affiliations:

  • -;-;-;-;-

  • Venue:
  • PACT '11 Proceedings of the 2011 International Conference on Parallel Architectures and Compilation Techniques
  • Year:
  • 2011

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Abstract

Fault-tolerance has become an essential concern for processor designers due to increasing transient and permanent fault rates. In this study we propose Symptom TM, a symptom-based error detection technique that recovers from errors by leveraging the abort mechanism of Transactional Memory (TM). To the best of our knowledge, this is the first architectural fault-tolerance proposal using Hardware Transactional Memory (HTM). Symptom TM can recover from 86% and 65% of catastrophic failures caused by transient and permanent errors respectively with no performance overhead in error-free executions.