Hauptseite > Publikationsdatenbank > Score-P: Scalable performance measurement infrastructure for parallel codes (v8.4) > print |
001 | 1037708 | ||
005 | 20250203103242.0 | ||
024 | 7 | _ | |a 10.5281/ZENODO.10822140 |2 doi |
037 | _ | _ | |a FZJ-2025-00868 |
100 | 1 | _ | |a Feld, Christian |0 P:(DE-Juel1)132244 |b 0 |e Corresponding author |
245 | _ | _ | |a Score-P: Scalable performance measurement infrastructure for parallel codes (v8.4) |
250 | _ | _ | |a 8.4 |
260 | _ | _ | |c 2024 |
336 | 7 | _ | |a Software |2 DCMI |
336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1737623249_21336 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a MISC |2 BibTeX |
336 | 7 | _ | |a Computer Program |0 6 |2 EndNote |
336 | 7 | _ | |a OTHER |2 ORCID |
336 | 7 | _ | |a Software |2 DataCite |
520 | _ | _ | |a The instrumentation and measurement framework Score-P, together with analysis tools build on top of its output formats, provides insight into massively parallel HPC applications, their communication, synchronization, I/O, and scaling behaviour to pinpoint performance bottlenecks and their causes. Score-P is a highly scalable and easy-to-use tool suite for profiling (summarizing program execution) and event tracing (capturing events in chronological order) of HPC applications. The scorep instrumentation command adds instrumentation hooks into a user's application by either prepending or replacing the compile and link commands. C, C++, Fortran, and Python codes as well as contemporary HPC programming models (MPI, threading, GPUs, I/O) are supported. When running an instrumented application, measurement event data is provided by the instrumentation hooks to the measurement core. There, the events are augmented with high-accuracy timestamps and potentially hardware counters (a plugin-API allows querying additional metric sources). The augmented events are then passed to one or both of the built-in event consumers, profiling and tracing (a plugin-API allows creation of additional event consumers) which finally provide output in the formats CUBE4 and OTF2, respectively. Score-P is available under the 3-clause BSD Open Source license. |
536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to DataCite |
650 | _ | 7 | |a Performance measurement |2 Other |
650 | _ | 7 | |a Score-P |2 Other |
650 | _ | 7 | |a instrumentation |2 Other |
650 | _ | 7 | |a sampling |2 Other |
650 | _ | 7 | |a HPC |2 Other |
650 | _ | 7 | |a profiling |2 Other |
650 | _ | 7 | |a tracing |2 Other |
700 | 1 | _ | |a Jäkel, René |0 0000-0001-6260-5222 |b 1 |
700 | 1 | _ | |a Lorenz, Daniel |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Wesarg, Bert |0 0000-0003-2647-0628 |b 3 |
700 | 1 | _ | |a Schmidl, Dirk |0 P:(DE-HGF)0 |b 4 |
700 | 1 | _ | |a Tschüter, Ronny |0 P:(DE-HGF)0 |b 5 |
700 | 1 | _ | |a Oleynik, Yury |0 P:(DE-HGF)0 |b 6 |
700 | 1 | _ | |a Wagner, Michael |0 P:(DE-HGF)0 |b 7 |
700 | 1 | _ | |a Eschweiler, Dominic |0 P:(DE-HGF)0 |b 8 |
700 | 1 | _ | |a Spazier, Johannes |0 P:(DE-HGF)0 |b 9 |
700 | 1 | _ | |a Knüpfer, Andreas |0 0000-0003-3591-397X |b 10 |
700 | 1 | _ | |a Shende, Sameer |0 0000-0002-2592-669X |b 11 |
700 | 1 | _ | |a Millstein, Suzanne |0 P:(DE-HGF)0 |b 12 |
700 | 1 | _ | |a Biersdorff, Scott |0 0000-0003-4210-7335 |b 13 |
700 | 1 | _ | |a Geimer, Markus |0 P:(DE-Juel1)132112 |b 14 |
700 | 1 | _ | |a Schlütter, Marc |0 P:(DE-Juel1)142180 |b 15 |
700 | 1 | _ | |a Schmitt, Felix |0 P:(DE-HGF)0 |b 16 |
700 | 1 | _ | |a Ziegenbalg, Johannes |0 P:(DE-HGF)0 |b 17 |
700 | 1 | _ | |a Zhukov, Ilya |0 P:(DE-Juel1)144419 |b 18 |
700 | 1 | _ | |a Dietrich, Robert |0 0000-0002-2501-5095 |b 19 |
700 | 1 | _ | |a Geyer, Robin |0 0000-0001-6967-8707 |b 20 |
700 | 1 | _ | |a Saviankou, Pavel |0 P:(DE-Juel1)132249 |b 21 |
700 | 1 | _ | |a Knobloch, Michael |0 P:(DE-Juel1)132163 |b 22 |
700 | 1 | _ | |a Mijaković, Robert |0 0000-0001-6077-4049 |b 23 |
700 | 1 | _ | |a Schöne, Robert |0 P:(DE-HGF)0 |b 24 |
700 | 1 | _ | |a Winkler, Frank |0 0000-0003-1648-9747 |b 25 |
700 | 1 | _ | |a Ilsche, Thomas |0 0000-0002-5437-3887 |b 26 |
700 | 1 | _ | |a Hermanns, Marc-André |0 P:(DE-Juel1)168253 |b 27 |
700 | 1 | _ | |a Brendel, Ronny |0 P:(DE-HGF)0 |b 28 |
700 | 1 | _ | |a Oeste, Sebastian |0 0009-0002-3540-4657 |b 29 |
700 | 1 | _ | |a Herold, Christian |0 P:(DE-HGF)0 |b 30 |
700 | 1 | _ | |a Sigl, Severin |0 P:(DE-HGF)0 |b 31 |
700 | 1 | _ | |a Hilbrich, Tobias |0 P:(DE-HGF)0 |b 32 |
700 | 1 | _ | |a Williams, Bill |0 0000-0001-5806-3176 |b 33 |
700 | 1 | _ | |a Klotz, Sven |0 0009-0004-4200-8534 |b 34 |
700 | 1 | _ | |a Corbin, Gregor |0 P:(DE-Juel1)188670 |b 35 |
700 | 1 | _ | |a Reuter, Jan André |0 P:(DE-Juel1)167509 |b 36 |
700 | 1 | _ | |a Grund, Alexander |0 0000-0002-7196-8452 |b 37 |
700 | 1 | _ | |a Sander, Maximilian |0 P:(DE-HGF)0 |b 38 |
700 | 1 | _ | |a Frenzel, Jan |0 0009-0007-5755-1427 |b 39 |
773 | _ | _ | |a 10.5281/ZENODO.10822140 |
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913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
914 | 1 | _ | |y 2024 |
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980 | _ | _ | |a UNRESTRICTED |
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