Virtual Institute – High Productivity Supercomputing

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Archer

Archer is a data race detector for OpenMP programs.
Archer combines static and dynamic techniques to identify data races in large OpenMP applications, leading to low runtime and memory overheads, while still offering high accuracy and precision. It builds on open-source tools infrastructure such as LLVM and ThreadSanitizer to provide portability.

Programming models

OpenMP

License

Open source: BSD

Organizations

Lawrence Livermore National Laboratory
University of Utah
RWTH Aachen University

Homepage

https://github.com/PRUNER/archer