Detecting silent errors in the wild: Combining two novel approaches to quickly detect silent data corruptions at scale

Silent data corruptions (SDCs), data errors that go undetected by the larger system, are a widespread problem for large-scale infrastructure systems. Left undetected, these types of corruptions can cause data loss and propagate across the stack and manifest as application-level problems. Silent data corruptions (SDC) in hardware impact computational integrity for large-scale applications. Sources of [...] Read More... The post Detecting silent errors in the wild: Combining two novel approaches to quickly detect silent data corruptions at scale appeared first on Engineering at Meta.
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