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Tools for top-down performance analysis of GPU-accelerated applications.

, , and . ICS, page 26:1-26:12. ACM, (2020)

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Dynamic data race detection for OpenMP programs., and . SC, page 61:1-61:12. IEEE / ACM, (2018)Preparing for performance analysis at exascale., , and . ICS, page 34:1-34:13. ACM, (2022)Low overhead and context sensitive profiling of CPU-accelerated applications., , , and . ICS, page 1:1-1:13. ACM, (2022)Improving Tool Support for Nested Parallel Regions with Introspection Consistency., and . IWOMP, volume 13527 of Lecture Notes in Computer Science, page 111-126. Springer, (2022)Compilation and Runtime-Optimizations for Software Distributed Shared Memory., , and . LCR, volume 1915 of Lecture Notes in Computer Science, page 182-191. Springer, (2000)An Evaluation of Data-Parallel Compiler Support for Line-Sweep Applications., and . IEEE PACT, page 7-17. IEEE Computer Society, (2002)Understanding congestion in high performance interconnection networks using sampling., and . SC, page 43:1-43:24. ACM, (2019)An Evaluation of Computing Paradigms for N-Body Simulations on Distributed Memory Architectures., and . PPoPP, page 25-36. ACM, (1999)A Tool for Performance Analysis of GPU-Accelerated Applications., and . CGO, page 282. IEEE, (2019)Pinpointing data locality problems using data-centric analysis., and . CGO, page 171-180. IEEE Computer Society, (2011)