Keynote Talk: Pretend Synchrony: Synchronous Verification of Asynchronous Programs
UC San Diego (USA)
Ranjit Jhala is a professor of Computer Science and Engineering at the University of California, San Diego. He works on algorithms and tools that help engineer reliable computer systems. His work draws from and contributes to the areas of Model Checking, Program Analysis, and Automated Deduction, and Type Systems. In particular, he is proud to have written some of the most cited papers in Programming Languages over the last fifteen years, and even more to have helped create several influential and award winning systems including the BLAST software model checker, RELAY race detector, MACE/MC distributed language and model checker, and most recently, the LIQUIDHASKELL refinement type checker.
We present pretend synchrony, a new approach to verifying distributed systems. Our approach is based on the observation that while distributed programs must execute asynchronously, we can often soundly treat them as if they were synchronous when verifying their correctness. To do so, we compute a synchronization, a semantically equivalent program where all sends, receives, and buffers, have been replaced by simple assignments, yielding a program that can be verified using Floyd-Hoare style Verification Conditions and SMT. We have implemented our approach and use four challenging case studies — the classic two phase commit protocol, a distributed key-value store, the Raft leader election protocol and single decree Paxos — to demonstrate that pretend synchrony makes verification of functional correctness simpler by reducing the manually specified invariants by a factor of 6, and faster by three orders of magnitude.
All deadlines are at 23:59 AoE
March 5th, 2021, March 19th, 2021
Abstract submission deadline
March 12th, 2021 March 26th, 2021
Paper submission deadline
April 26th, 2021 April 30th, 2021
May 10th, 2021
May 10th, 2021
Revised selected papers will be published as a post-proceedings in Springer's LNCS "Lecture Notes in Computer Science"
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