Contribution to a conference proceedings/Contribution to a book

FZJ-2018-06213

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Enabling callback-driven runtime introspection via MPI_T

Hermanns, M.-A. (Corresponding author)FZJ* ; Hjlem, N. T. ; Knobloch, M.FZJ* ; Mohror, K. ; Schulz, M.

2018
ACM Press New York
ISBN: 978-1-4503-6492-8

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Please use a persistent id in citations: http://hdl.handle.net/2128/19917  doi:10.1145/3236367.3236370

Abstract: Understanding the behavior of parallel applications that use the Message Passing Interface (MPI) is critical for optimizing communication performance. Performance tools for MPI currently rely on the PMPI Profiling Interface or the MPI Tools Information Interface, MPI_T, for portably collecting information for performance measurement and analysis. While tools using these interfaces have proven to be extremely valuable for performance tuning, these interfaces only provide synchronous information, i.e., when an MPI or an MPI_T function is called. There is currently no option for collecting information about asynchronous events from within the MPI library. In this work we propose a callback-driven interface for event notification from MPI implementations. Our approach is integrated in the existing MPI_T interface and provides a portable API for tools to discover and register for events of interest. We demonstrate the functionality and usability of the interface with a prototype implementation in Open MPI, a small logging tool (MEL) and the measurement infrastructure Score-P.

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Contributing Institute(s):

1. JARA - HPC (JARA-HPC)
2. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)
2. ATMLPP - ATML Parallel Performance (ATMLPP) (ATMLPP)

Appears in the scientific report 2018

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Database coverage:

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