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    Area of Science:

    • Computer Science
    • High-Performance Computing
    • Software Engineering

    Background:

    • Rapid technology scaling increases hardware susceptibility to computational errors like bit flips.
    • Silent data corruption (SDC) represents undetected yet significant output errors, posing a major challenge in HPC.
    • Current fault injection methods offer limited detail and understanding of fault-corrupted program behavior.

    Purpose of the Study:

    • To introduce SpotSDC, a novel visualization system for analyzing program resilience to SDC.
    • To provide detailed insights into the impact of bit flips on program output.
    • To enhance the understanding of fault-injected program behavior and improve fault injection campaigns.

    Main Methods:

    • Developed SpotSDC, a visualization system for SDC analysis.
    • Implemented multi-perspective views detailing the impact of bit flips.
    • Enabled analysis of bit flip location (source code, specific bit) and timing during execution.

    Main Results:

    • SpotSDC facilitates detailed analysis of SDC impact across different program aspects.
    • The system offers new insights into code protection and fault-injected program behavior.
    • The findings demonstrate potential improvements for fault injection campaign methodologies.

    Conclusions:

    • SpotSDC is an effective tool for understanding and mitigating SDC in HPC systems.
    • Enhanced visualization aids in identifying vulnerabilities and improving software resilience.
    • The study contributes to more effective fault injection strategies and robust HPC software.