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Optimal Prediction of Synchronization-Preserving Races

Talkat POPL 2021 · 2021-01-17..01-22· [security]
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Paper gives a sound and complete algorithm SyncP that predicts synchronization-preserving races and runs in Õ(N) time and space on a trace of length N, with a matching space lower bound of Ω(N / log^2 N). Allowing even one synchronization reversal makes detection NP-complete and W[1]-hard. Implementation inside the Rapid tool compares against SHB, WCP and M2, finds more races than SHB/WCP, misses only two M2-only reports while M2 times out on some inputs, and shows most real races are sync-preserving.

AI-written summary · about

  1. 0:00Introduction
  2. 5:25Comparison
  3. 10:10Monotonicity Principle
  4. 11:53Complexity
  5. 12:48Nature
  6. 15:33Experiments
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