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Towards providing low-overhead data race detection for large OpenMP applications.

, , , , , , , , and . LLVM@SC, page 40-47. IEEE Computer Society, (2014)

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Multi-level analysis of compiler induced variability and performance tradeoffs., , , , , , and . CoRR, (2018)PredCom: A Predictive Approach to Collecting Approximated Communication Traces., , and . IEEE Trans. Parallel Distributed Syst., 32 (1): 45-58 (2021)PARIS: Predicting Application Resilience Using Machine Learning., , and . CoRR, (2018)Examining Failures and Repairs on Supercomputers with Multi-GPU Compute Nodes., , , , and . DSN, page 305-313. IEEE, (2021)FAROS: A Framework to Analyze OpenMP Compilation Through Benchmarking and Compiler Optimization Analysis., , , and . IWOMP, volume 12295 of Lecture Notes in Computer Science, page 3-17. Springer, (2020)Toward Increasing Trust in Exascale Simulations., , , , and . XLOOP@SC, page 26-31. IEEE, (2022)BinFPE: accurate floating-point exception detection for GPU applications., , and . SOAP@PLDI, page 1-8. ACM, (2022)Detecting and reproducing error-code propagation bugs in MPI implementations., , , and . PPoPP, page 187-201. ACM, (2020)A large-scale study of MPI usage in open-source HPC applications., , , , , and . SC, page 31:1-31:14. ACM, (2019)Probabilistic diagnosis of performance faults in large-scale parallel applications., , , , and . PACT, page 213-222. ACM, (2012)