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Model Checking Race-Freedom When "Sequential Consistency for Data-Race-Free Programs" is Guaranteed

Wenhao Wu, Jan Hückelheim, Paul D. Hovland, Ziqing Luo, Stephen F. Siegel

2023Year
1Citations
1Top-tier citations

Abstract

Abstract Many parallel programming models guarantee that if all sequentially consistent (SC) executions of a program are free of data races, then all executions of the program will appear to be sequentially consistent. This greatly simplifies reasoning about the program, but leaves open the question of how to verify that all SC executions are race-free. In this paper, we show that with a few simple modifications, model checking can be an effective tool for verifying race-freedom. We explore this technique on a suite of C programs parallelized with OpenMP.

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