A Universal, Sound, and Complete Forward Reasoning Technique for Machine-Verified Proofs of Linearizability
We introduce simple, universal, sound, and complete proof methods for producing machine-verifiable proofs of linearizability and its close cousin, strong linearizability. Universality means that our method works for any object type; soundness means that an algorithm can be proved correct by our method only if it is linearizable (resp. strong linearizable); and completeness means that any linearizable (resp. strong linearizable) implementation can be proved so using our method. We demonstrate the simplicity and power of our method by producing proofs of linearizability for the Herlihy-Wing queue and Jayanti’s single-scanner snapshot, as well as a proof of strong linearizability of the Jayanti-Tarjan union-find object. All three of these proofs are machine-verified by TLAPS (the Temporal Logic of Actions Proof System).
Wed 17 JanDisplayed time zone: London change
16:50 - 18:10 | |||
16:50 20mTalk | A Universal, Sound, and Complete Forward Reasoning Technique for Machine-Verified Proofs of Linearizability POPL Prasad Jayanti Department of Computer Science, Dartmouth College, USA, Siddhartha Jayanti Google Research, Ugur Y. Yavuz Boston University, Lizzie Hernandez Videa Microsoft | ||
17:10 20mTalk | Predictive Monitoring against Pattern Regular Languages POPL Pre-print | ||
17:30 20mTalk | Commutativity Simplifies Proofs of Parameterized Programs POPL Azadeh Farzan University of Toronto, Dominik Klumpp University of Freiburg, Andreas Podelski University of Freiburg Pre-print | ||
17:50 20mTalk | Coarser Equivalences for Causal Concurrency POPL Pre-print |