TY  - COMP
AU  - Feld, Christian
AU  - Jäkel, René
AU  - Lorenz, Daniel
AU  - Wesarg, Bert
AU  - Schmidl, Dirk
AU  - Tschüter, Ronny
AU  - Oleynik, Yury
AU  - Wagner, Michael
AU  - Eschweiler, Dominic
AU  - Spazier, Johannes
AU  - Knüpfer, Andreas
AU  - Shende, Sameer
AU  - Millstein, Suzanne
AU  - Biersdorff, Scott
AU  - Geimer, Markus
AU  - Schlütter, Marc
AU  - Schmitt, Felix
AU  - Ziegenbalg, Johannes
AU  - Zhukov, Ilya
AU  - Dietrich, Robert
AU  - Geyer, Robin
AU  - Saviankou, Pavel
AU  - Knobloch, Michael
AU  - Mijaković, Robert
AU  - Schöne, Robert
AU  - Winkler, Frank
AU  - Ilsche, Thomas
AU  - Hermanns, Marc-André
AU  - Brendel, Ronny
AU  - Oeste, Sebastian
AU  - Herold, Christian
AU  - Sigl, Severin
AU  - Hilbrich, Tobias
AU  - Williams, William
AU  - Klotz, Sven
AU  - Corbin, Gregor
TI  - Score-P: Scalable performance measurement infrastructure for parallel codes (v8.0); 8.0
M1  - FZJ-2023-00292
PY  - 2022
AB  - 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.
KW  - Performance measurement (Other)
KW  - Score-P (Other)
KW  - instrumentation (Other)
KW  - sampling (Other)
KW  - HPC (Other)
KW  - profiling (Other)
KW  - tracing (Other)
LB  - PUB:(DE-HGF)33
DO  - DOI:10.5281/ZENODO.5761738
UR  - https://juser.fz-juelich.de/record/917046
ER  -