Model Checking Task Parallel Programs Using Gradual Permissions (N)

Habanero is a task parallel programming model that provides correctness guarantees to the programmer. Even so, programs may contain data races that lead to non-determinism, which complicates debugging and verification. This paper presents a sound algorithm based on permission regions to prove data r...

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Veröffentlicht in:2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE) S. 535 - 540
Hauptverfasser: Mercer, Eric G., Anderson, Peter, Vrvilo, Nick, Sarkar, Vivek
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.11.2015
Schlagworte:
Data models
Data race
deadlock
Habanero
Java
Java Pathfinder
Model checking
Schedules
Synchronization
System recovery
task parallel languages
Writing
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Zusammenfassung:Habanero is a task parallel programming model that provides correctness guarantees to the programmer. Even so, programs may contain data races that lead to non-determinism, which complicates debugging and verification. This paper presents a sound algorithm based on permission regions to prove data race and deadlock freedom in Habanero programs. Permission regions are user annotations to indicate the use of shared variables over spans of code. The verification algorithm restricts scheduling to permission region boundaries and isolation to reduce verification cost. The effectiveness of the algorithm is shown in benchmarks with an implementation in the Java Pathfinder (JPF) model checker. The implementation uses a verification specific library for Habanero that is tested using JPF for correctness. The results show significant reductions in cost, where cost is controlled with the size of the permission regions, at the risk of rejecting programs that are actually free of any data race or deadlock.
DOI:10.1109/ASE.2015.75