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Unlucky Simulation

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slides:none on file

Replacing the fair PRNG with a coverage-guided fuzzer as the source of scheduling choices produces drastically better results: the existing fair RNG runs through 1,000,000 seeds and only slowly improves counterexamples without hitting the minimal interleaving, while the fuzzer-derived inputs find the minimal bug quickly. Implementation wraps a replayable sequence as the RNG interface and also experiments with random task selection instead of a time-ordered queue; both changes reduce compute and expose the rare invariant-violation interleaving reliably.

AI-written summary · about

  1. 0:00Intro
  2. 0:16Background
  3. 1:40Example
  4. 2:06Swap
  5. 2:40Clients
  6. 3:02Minimal Counter
  7. 3:48Current Strategy
  8. 4:30Scenario
  9. 4:50Results
  10. 6:01Comparison
  11. 6:35Priority Queue
  12. 7:17Conclusion
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