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Thinking Beyond Race Conditions
2010
Softwaretechnik-Trends
Multi-threaded parallel programs perform accesses to shared variables, which require application of a synchronization strategy. Absence of synchronization among threads may lead to error situations, such as data races. Data races, which involve concurrent accesses to a single shared variable, are categorized as low-level. Synchronization strategies to alleviate lowlevel data races do not guarantee freedom from data races on a higher-level of abstraction. In this paper, we discuss some scenarios
dblp:journals/stt/Raza10
fatcat:m5nyqczzzzautmhsyncagkyhoe