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Modeling the Effect of Technology Trends on the Soft Error Rate of Combinational Logic

Published: 23 June 2002 Publication History

Abstract

This paper examines the effect of technology scaling and microarchitectural trends on the rate of soft errors in CMOS memory and logic circuits. We describe and validate an end-to-end model that enables us to compute the soft error rates (SER) for existing and future microprocessor-style designs. The model captures the effects of two important masking phenomena, electrical masking and latching-window masking, which inhibit soft errors in combinational logic. We quantify the SER due to high-energy neutrons in SRAM cells, latches, and logic circuits for feature sizes from 600nm to 50nm and clock periods from 16 to 6 fan-out-of-4 inverter delays. Our model predicts that the SER per chip of logic circuits will increase nine orders of magnitude from 1992 to 2011 and at that point will be comparable to the SER per chip of unprotected memory elements. Our result emphasizes that computer system designers must address the risks of soft errors in logic circuits for future designs.

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  • (2023)Enhanced PATRON: Fault Injection and Power-aware FSM Encoding Through Linear ProgrammingACM Transactions on Design Automation of Electronic Systems10.1145/361166928:6(1-26)Online publication date: 16-Oct-2023
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  1. Modeling the Effect of Technology Trends on the Soft Error Rate of Combinational Logic

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    cover image Guide Proceedings
    DSN '02: Proceedings of the 2002 International Conference on Dependable Systems and Networks
    June 2002
    758 pages
    ISBN:0769515975

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 23 June 2002

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    • (2023)Enhanced PATRON: Fault Injection and Power-aware FSM Encoding Through Linear ProgrammingACM Transactions on Design Automation of Electronic Systems10.1145/361166928:6(1-26)Online publication date: 16-Oct-2023
    • (2020)Reliability Analysis for Unreliable FSM ComputationsACM Transactions on Architecture and Code Optimization10.1145/337745617:2(1-23)Online publication date: 29-May-2020
    • (2019)A Hybrid Agent-based Design Methodology for Dynamic Cross-layer Reliability in Heterogeneous Embedded SystemsProceedings of the 56th Annual Design Automation Conference 201910.1145/3316781.3317746(1-6)Online publication date: 2-Jun-2019
    • (2019)A Survey on Multithreading Alternatives for Soft Error Fault ToleranceACM Computing Surveys10.1145/330225552:2(1-38)Online publication date: 27-Mar-2019
    • (2019)Exploring Design Trade-offs in Fault-Tolerant Behavioral Hardware AcceleratorsProceedings of the 2019 Great Lakes Symposium on VLSI10.1145/3299874.3318020(291-294)Online publication date: 13-May-2019
    • (2019)Modeling Soft Error Propagation in Near-Threshold Combinational Circuits Using Neural NetworksJournal of Electronic Testing: Theory and Applications10.1007/s10836-019-05796-x35:3(401-412)Online publication date: 1-Jun-2019
    • (2019)A fast and accurate hybrid fault injection platform for transient and permanent faultsDesign Automation for Embedded Systems10.1007/s10617-018-9217-023:1-2(3-19)Online publication date: 1-Jun-2019
    • (2018)Leto: verifying application-specific hardware fault tolerance with programmable execution modelsProceedings of the ACM on Programming Languages10.1145/32765332:OOPSLA(1-30)Online publication date: 24-Oct-2018
    • (2018)Optimization of Fault-Tolerant Mixed-Criticality Multi-Core Systems with Enhanced WCRT AnalysisACM Transactions on Design Automation of Electronic Systems10.1145/327515424:1(1-26)Online publication date: 21-Dec-2018
    • (2018)Declarative ResilienceACM Transactions on Embedded Computing Systems10.1145/321055917:4(1-27)Online publication date: 24-Jul-2018
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