Predicate Abstraction for Relaxed Memory Models

  • Andrei Marian Dan
  • Yuri Meshman
  • Martin Vechev
  • Eran Yahav
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7935)


We present a novel approach for predicate abstraction of programs running on relaxed memory models. Our approach consists of two steps.

First, we reduce the problem of verifying a program P running on a memory model M to the problem of verifying a program P M that captures an abstraction of M as part of the program.

Second, we present a new technique for discovering predicates that enable verification of P M . The core idea is to extrapolate from the predicates used to verify P under sequential consistency. A key new concept is that of cube extrapolation: it successfully avoids exponential state explosion when abstracting P M .

We implemented our approach for the x86 TSO and PSO memory models and showed that predicates discovered via extrapolation are powerful enough to verify several challenging concurrent programs. This is the first time some of these programs have been verified for a model as relaxed as PSO.


Model Check Shared Variable Global Variable Memory Model Sequential Consistency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Andrei Marian Dan
    • 1
  • Yuri Meshman
    • 2
  • Martin Vechev
    • 1
  • Eran Yahav
    • 2
  1. 1.ETH ZurichSwitzerland
  2. 2.TechnionIsrael

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