Software

FZJ-2023-00292

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Score-P: Scalable performance measurement infrastructure for parallel codes (v8.0)

Feld, C. (Corresponding author)FZJ* ; Jäkel, R. ; Lorenz, D. ; Wesarg, B. ; Schmidl, D. ; Tschüter, R. ; Oleynik, Y. ; Wagner, M. ; Eschweiler, D. ; Spazier, J. ; Knüpfer, A. ; Shende, S. ; Millstein, S. ; Biersdorff, S. ; Geimer, M.FZJ* ; Schlütter, M.FZJ* ; Schmitt, F. ; Ziegenbalg, J. ; Zhukov, I.FZJ* ; Dietrich, R. ; Geyer, R. ; Saviankou, P.FZJ* ; Knobloch, M.FZJ* ; Mijaković, R. ; Schöne, R. ; Winkler, F. ; Ilsche, T. ; Hermanns, M.-A.FZJ* ; Brendel, R. ; Oeste, S. ; Herold, C. ; Sigl, S. ; Hilbrich, T. ; Williams, W. ; Klotz, S. ; Corbin, G.FZJ*

2022

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Please use a persistent id in citations: doi:10.5281/ZENODO.5761738

Abstract: The Score-P measurement infrastructure is a highly scalable and easy-to-use tool suite for profiling, event tracing, and online analysis of HPC applications. Score-P offers the user a maximum of convenience by supporting a number of analysis tools. Currently, it works with CubeGUI, Scalasca trace tools, Vampir, Tau, and Extra-P and is open for other tools. Score-P comes together with the new Open Trace Format Version 2, the Cube4 profiling format and the Opari2 instrumenter. Score-P is available under the 3-clause BSD Open Source license.

Keyword(s): Performance measurement ; Score-P ; instrumentation ; sampling ; HPC ; profiling ; tracing

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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 2022

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