Contribution to a conference proceedings/Contribution to a book FZJ-2023-04994

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An Event Model for Trace-Based Performance Analysis of MPI Partitioned Point-to-Point Communication

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2023
ACM New York, NY, USA

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
Workshop on Programming and Performance Visualization Tools, ProTools '23, Denver, CODenver, CO, USA, 12 Nov 2023 - 12 Nov 20232023-11-122023-11-12
New York, NY, USA : ACM 1357–1367 () [10.1145/3624062.3624205]

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Abstract: 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.


Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
  2. ATMLPP - ATML Parallel Performance (ATMLPP) (ATMLPP)

Appears in the scientific report 2023
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 Datensatz erzeugt am 2023-11-30, letzte Änderung am 2025-03-14


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