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

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.

Duke Scholars

Author Daniel J. Sorin Pierre R. Lamond Department of Electrical and Computer Engin ...