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Hybrid Data Race Detection for Multicore Software
2018
Computing and informatics
Multithreaded programs are prone to concurrency errors such as deadlocks, race conditions and atomicity violations. These errors are notoriously difficult to detect due to the non-deterministic nature of concurrent software running on multicore hardware. Data races result from the concurrent access of shared data by multiple threads and can result in unexpected program behaviors. Main dynamic data race detection techniques in the literature are happens-before and lockset algorithms which suffer
doi:10.4149/cai_2018_1_186
fatcat:6z4clccamfchlelgenisjxeelu