%0 Conference Paper
%A Thärigen, Isabel
%A Hermanns, Marc-André
%A Geimer, Markus
%T An Event Model for Trace-Based Performance Analysis of MPI Partitioned Point-to-Point Communication
%C New York, NY, USA
%I ACM
%M FZJ-2023-04994
%P 1357–1367
%D 2023
%< Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
%X The 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.
%B Workshop on Programming and Performance Visualization Tools
%C 12 Nov 2023 - 12 Nov 2023, Denver, CO (USA)
Y2 12 Nov 2023 - 12 Nov 2023
M2 Denver, CO, USA
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%R 10.1145/3624062.3624205
%U https://juser.fz-juelich.de/record/1018700