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Language-Centric Performance Analysis of OpenMP Programs with Aftermath
[chapter]
2016
Lecture Notes in Computer Science
We present a new set of tools for the language-centric performance analysis and debugging of OpenMP programs that allows programmers to relate dynamic information from parallel execution to OpenMP constructs. Users can visualize execution traces, examine aggregate metrics on parallel loops and tasks, such as load imbalance or synchronization overhead, and obtain detailed information on specific events, such as the partitioning of a loop's iteration space, its distribution to workers according
doi:10.1007/978-3-319-45550-1_17
fatcat:x5v7z3j4v5evhcf3jvgdzisk4y