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The visual vulnerability spectrum: characterizing architectural vulnerability for graphics hardware

Published: 03 September 2006 Publication History

Abstract

With shrinking process technology, the primary cause of transient faults in semiconductors shifts away from high-energy cosmic particle strikes and toward more mundane and pervasive causes---power fluctuations, crosstalk, and other random noise. Smaller transistor features require a lower critical charge to hold and change bits, which leads to faster microprocessors, but which also leads to higher transient fault rates. Current trends, expected to continue, show soft error rates increasing exponentially at a rate of 8% per technology generation. Existing transient fault research in general-purpose architecture, like the well-established architectural vulnerability factor (AVF), assume that all computations are equally important and all errors equally intolerable. However, we observe that the effect of transient faults in graphics processing can range from imperceptible, to bothersome visual artifacts, to critical loss of function. We therefore extend and generalize the AVF by introducing the Visual Vulnerability Spectrum (VVS). We apply the VVS to analyze the effect of increased transient error rate on graphics processors. With this analysis in hand, we suggest several targeted, inexpensive solutions that can mitigate the most egregious of soft error consequences.

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    cover image ACM Other conferences
    GH '06: Proceedings of the 21st ACM SIGGRAPH/EUROGRAPHICS symposium on Graphics hardware
    September 2006
    125 pages
    ISBN:3905673371
    DOI:10.1145/1283900
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • EUROGRAPHICS: The European Association for Computer Graphics

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 September 2006

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    • (2019)Quantifying the Impact of Memory Errors in Deep Learning2019 IEEE International Conference on Cluster Computing (CLUSTER)10.1109/CLUSTER.2019.8890989(1-12)Online publication date: Sep-2019
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