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A comparison of several fault-tolerance methods for the detection and correction of floating-point errors in matrix-matrix multiplication
Abstract : This paper compares several fault-tolerance methods for the detection and correction of floating-point errors in matrix-matrix multiplication. These methods include replication, triplication, Algorithm-Based Fault Tolerance (ABFT) and residual checking (RC). Error correction for ABFT can be achieved either by solving a small-size linear system of equations, or by recomputing corrupted coefficients. We show that both approaches can be used for RC. We provide a synthetic presentation of all methods before discussing their pros and cons. We have implemented all these methods with calls to optimized BLAS routines, and we provide performance data for a wide range of failure rates and matrix sizes.
https://hal.inria.fr/hal-03029309
Contributor : Equipe Roma Connect in order to contact the contributor
Submitted on : Monday, November 30, 2020 - 9:42:07 AM
Last modification on : Saturday, September 11, 2021 - 3:19:42 AM
Long-term archiving on: : Monday, March 1, 2021 - 6:14:34 PM
Contributor : Equipe Roma Connect in order to contact the contributor
Submitted on : Monday, November 30, 2020 - 9:42:07 AM
Last modification on : Saturday, September 11, 2021 - 3:19:42 AM
Long-term archiving on: : Monday, March 1, 2021 - 6:14:34 PM
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resilience-europar-hal.pdf
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