Decidable Verification under a Causally Consistent Shared Memory
Causal consistency is one of the most fundamental and widely used consistency models weaker than sequential consistency. In this paper, we study the verification of safety properties for finite-state concurrent programs running under a causally consistent shared memory model. We establish the decidability of this problem for a standard model of causal consistency (called also "Causal Convergence" and "Strong-Release-Acquire"). Our proof proceeds by developing an alternative operational semantics, based on the notion of a thread potential, that is equivalent to the existing declarative semantics and constitutes a well-structured transition system. In particular, our result allows for the verification of a large family of programs in the Release/Acquire fragment of C/C++11 (RA). Indeed, while verification under RA was recently shown to be undecidable for general programs, since RA coincides with the model we study here for write/write-race-free programs, the decidability of verification under RA for this widely used class of programs follows from our result. The novel operational semantics may also be of independent use in the investigation of weakly consistent shared memory models and their verification.
Thu 21 OctDisplayed time zone: Central Time (US & Canada) change
10:50 - 12:10 | |||
10:50 15mTalk | Armada: Low-Effort Verification of High-Performance Concurrent Programs SIGPLAN Papers Jacob R. Lorch Microsoft Research, n.n., Yixuan Chen Yale University, USA, Manos Kapritsos University of Michigan, USA, Bryan Parno Carnegie Mellon University, USA, Shaz Qadeer Novi, USA, Upamanyu Sharma University of Michigan, USA, James R. Wilcox University of Washington, Xueyuan Zhao Carnegie Mellon University, USA DOI | ||
11:05 15mTalk | Decidable Verification under a Causally Consistent Shared Memory SIGPLAN Papers | ||
11:20 15mTalk | Efficient Handling of String-Number Conversion SIGPLAN Papers Parosh Aziz Abdulla Uppsala University, Sweden, Mohamed Faouzi Atig Uppsala University, Sweden, Yu-Fang Chen Academia Sinica, Taiwan, Bui Phi Diep Uppsala University, Sweden, Julian Dolby IBM Research, USA, Petr Janků Brno University of Technology, Czechia, Hsin-Hung Lin Academia Sinica, Taiwan, Lukáš Holík Brno University of Technology, Wei-Cheng Wu University of Southern California, USA | ||
11:35 15mTalk | Verifying Concurrent Search Structure Templates SIGPLAN Papers Siddharth Krishna Microsoft Research, Nisarg Patel New York University, Dennis Shasha New York University, Thomas Wies New York University | ||
11:50 20mLive Q&A | Discussion, Questions and Answers SIGPLAN Papers |