TY  - COMP
AU  - Feld, Christian
AU  - Jäkel, R.
AU  - Lorenz, Daniel
AU  - Wesarg, B.
AU  - Schmidl, D.
AU  - Tschüter, R.
AU  - Oleynik, Y.
AU  - Wagner, M.
AU  - Eschweiler, D.
AU  - Spazier, J.
AU  - Knüpfer, A.
AU  - Shende, S.
AU  - Millstein, S.
AU  - Biersdorff, S.
AU  - Geimer, Markus
AU  - Schlütter, Marc
AU  - Schmitt, F.
AU  - Ziegenbalg, J.
AU  - Zhukov, Ilya
AU  - Dietrich, R.
AU  - Geyer, R.
AU  - Saviankou, Pavel
AU  - Knobloch, Michael
AU  - Mijaković, R.
AU  - Schöne, R.
AU  - Winkler, F.
AU  - Ilsche, T.
AU  - Hermanns, Marc-André
AU  - Brendel, R.
AU  - Oeste, S.
AU  - Herold, C.
AU  - Sigl, S.
AU  - Hilbrich, T.
AU  - Williams, W.
AU  - Klotz, S.
AU  - Corbin, Gregor
AU  - Reuter, Jan
TI  - Score-P: Scalable performance measurement infrastructure for parallel codes (v8.1)
M1  - FZJ-2023-01779
PY  - 2023
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.7817192
UR  - https://juser.fz-juelich.de/record/1006647
ER  -