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arxiv: 2508.01786 · v4 · pith:R6CQWEI5new · submitted 2025-08-03 · 💻 cs.AR

Silent Data Corruption by 10x Test Escapes Threatens Reliable Computing

classification 💻 cs.AR
keywords chipsdefectivetestdataescapesexperimentscomputecomputing
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Too many defective compute chips are escaping existing manufacturing tests -- at least an order of magnitude more than industrial targets across all compute chip types in data centers. Silent data corruptions (SDCs) caused by test escapes, when left unaddressed, pose a major threat to reliable computing. We present a three-pronged approach outlining future directions for overcoming test escapes: (a) Quick diagnosis of defective chips directly from system-level incorrect behaviors. Such diagnosis is critical for gaining insights into why so many defective chips escape existing manufacturing testing. (b) In-field detection of defective chips. (c) New test experiments to understand the effectiveness of new techniques for detecting defective chips. These experiments must overcome the drawbacks and pitfalls of previous industrial test experiments and case studies.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. ITHICA: Intra-Thread Instruction Checking Approach for Defect-Induced Silent Data Corruptions

    cs.AR 2026-05 unverdicted novelty 7.0

    ITHICA generates functional tests via intra-thread instruction duplication and comparison, detecting 39% more defective servers than baseline methods on over 3000 real CPUs while revealing new defect behaviors.