An FPGA-based experimental evaluation of microprocessor core error detection with Argus-2

  • Authors:
  • Patrick J. Eibl;Albert Meixner;Daniel J. Sorin

  • Affiliations:
  • IBM, Research Triangle Park, NC, USA;NVIDIA, Santa Clara, CA, USA;Duke University, Durham, NC, USA

  • Venue:
  • ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review
  • Year:
  • 2011

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Abstract

Recently, several researchers have proposed schemes for low-cost, low-power error detection in the processor core. In this work, we demonstrate that one particular scheme, an enhanced implementation of the Argus framework called Argus-2, is a viable option for industry adoption. Using an FPGA prototype, we experimentally evaluate Argus-2's ability to detect errors due to (a) all possible single stuck-at faults in a given core and (b) a statistically significant number of double stuck-at faults, including pairs of faults that are randomly located and pairs that are spatially correlated on the chip.