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001018700 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-04994
001018700 037__ $$aFZJ-2023-04994
001018700 041__ $$aEnglish
001018700 1001_ $$0P:(DE-HGF)0$$aThärigen, Isabel$$b0$$eCorresponding author
001018700 1112_ $$aWorkshop on Programming and Performance Visualization Tools$$cDenver, CO$$d2023-11-12 - 2023-11-12$$gProTools '23$$wUSA
001018700 245__ $$aAn Event Model for Trace-Based Performance Analysis of MPI Partitioned Point-to-Point Communication
001018700 260__ $$aNew York, NY, USA$$bACM$$c2023
001018700 29510 $$aProceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
001018700 300__ $$a1357–1367
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001018700 520__ $$aThe MPI 4.0 standard introduced the concept of partitioned point-to-point communication. One facet that may help in encouraging application developers to use this new concept in their programs is the availability of proper tool support in a timely manner. In this paper, we therefore propose nine new events extending the OTF2 event model to accurately represent the runtime behavior of partitioned point-to-point communication. We then demonstrate the suitability of these extensions with three different use cases in the context of performance analysis. In particular, we showcase a prototype implementation of an extended waitstate analysis in the Scalasca trace analyzer, and discuss further potential use cases in the realm of trace visualization and simulation.
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001018700 7001_ $$0P:(DE-HGF)0$$aHermanns, Marc-André$$b1
001018700 7001_ $$0P:(DE-Juel1)132112$$aGeimer, Markus$$b2
001018700 773__ $$a10.1145/3624062.3624205
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