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DOE OSTI · 1573167

Detecting Data-Races in High-Performance Computing

Schordan, Markus·Liao, Chunhua·Lin, Pei-Hung·Karlin, Ian
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Abstract

High-performance computing is susceptible to data-race bugs. Data races occur when sequences of computed events do not happen in the intended order, a significant barrier to the integrity of parallel programs using shared-memory architectures. Many approaches to data-race detection are based on traditional static-analysis techniques that typically execute on a program’s source code or control-flow graph (the graphical representation of all possible orders of events in the execution of a program). Similar to classical data-flow analyses, such tools can produce false alarms that report spurious race conditions on error free programs. We have developed a software verification technique that requires as input only a program’s source code and can automatically detect a data-race bug which definitely exists, determine that a program is definitely data-race free, or report that it cannot determine either of the two cases.

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97 MATHEMATICS AND COMPUTING

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Schordan, Markus, Liao, Chunhua, Lin, Pei-Hung, Karlin, Ian. 2019-10-30. Detecting Data-Races in High-Performance Computing. https://doi.org/10.2172/1573167

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