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Title: Model Checking Race-Freedom When “Sequential Consistency for Data-Race-Free Programs” is Guaranteed
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.  more » « less
Award ID(s):
2019309 1955852
NSF-PAR ID:
10434666
Author(s) / Creator(s):
; ; ; ;
Editor(s):
Enea, Constantin; Lal, Akash
Date Published:
Journal Name:
International Conference on Computer Aided Verification
Volume:
13965
Page Range / eLocation ID:
265 - 287
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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