Networking

Karma: Scalable Deterministic Record-Replay

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Executive Summary

Recent research in deterministic record-replay seeks to ease debugging, security, and fault tolerance on otherwise nondeterministic multicore systems. The important challenge of handling shared memory races (that can occur on any memory reference) can be made more efficient with hardware support. Recent proposals record how long threads run in isolation on top of snooping coherence (IMRR), implicit transactions (DeLorean), or directory coherence (Rerun). As core counts scale, Rerun's directory-based parallel record gets more attractive, but its nearly sequential replay becomes unacceptably slow.

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