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Conference Papers Year : 2023

Rethinking Data Race Detection in MPI-RMA Programs

Van Man Nguyen
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Marc Sergent
Emmanuelle Saillard


Supercomputers are capable of increasingly more computations, and nodes forming them need to communicate even more efficiently with each other. The Message Passing Interface (MPI) proposes a communication model based on one-sided communications called the MPI Remote Memory Access (MPI-RMA). Thanks to these operations, applications can improve the overlap of communications with computations. However, one-sided communications are complex to write since they are subject to data races. This paper rethinks an existing on-the-fly data race detection algorithm for MPI-RMA programs by improving the storage of memory accesses in a Binary Search Tree using a new insertion algorithm based on fragmentation and merging algorithms. Thus, experimental results on real-life applications show that this new insertion algorithm improves the accuracy of the data race detection and can reduce the overhead of the analysis at runtime by a factor up to two.
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hal-04272399 , version 1 (06-11-2023)



Radjasouria Vinayagame, Van Man Nguyen, Marc Sergent, Samuel Thibault, Emmanuelle Saillard. Rethinking Data Race Detection in MPI-RMA Programs. 7th International Workshop on Software Correctness for HPC Applications (Correctness '23), Nov 2023, Denver (Colorado, USA), United States. pp.196-204, ⟨10.1145/3624062.3624086⟩. ⟨hal-04272399⟩


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