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Critical path analysis tool for heterogeneous applications (CASITA)
Subtitle: Source Code
Metadaten
| Ergänzende Titel | Subtitle: Source Code | |
| Weitere mitwirkende Personen, Institutionen oder Unternehmen | Dietrich, Robert - ZIH - ProjectLeader | |
| Weitere mitwirkende Personen, Institutionen oder Unternehmen | Stolle, Jonas - WorkPackageLeader | |
| Weitere mitwirkende Personen, Institutionen oder Unternehmen | Schmitt, Felix - WorkPackageLeader | |
| Für den Inhalt der Forschungsdaten verantwortliche Person(en) | Dietrich, Robert | |
| Beschreibung der weiteren Datenverarbeitung | The source code has to be compiled with a C++ compiler. Make sure to have an MPI and an OTF2 library in the library path. Build and compile with the following commands: cmake .; make Execute the binary 'casita -h' for a help output on the execution options of CASITA. | |
| Kurzbeschreibung | CASITA is a tool for automatic analysis of OTF2 trace files that have been generated with Score-P. It determines program activities with high impact on the total program runtime and the load balancing. CASITA generates an OTF2 trace with additional information such as the critical path, waiting time, and the cause of wait states. The same metrics are used to generate a summary profile which rates activities according their potential to improve the program runtime and the load balancing. A summary of inefficient patterns exposes waiting times in the individual programming models and APIs. CASITA version 1.9 has been used as proof-of-concept implementation for the dissertation "Scalable Applications on Heterogeneous System Architectures: A Systematic Performance Analysis Framework". Compiling the source code of CASITA requires OTF2 and an MPI library such as OpenMPI. | |
| Weitere Schlagwörter | offloading | |
| Weitere Schlagwörter | heterogeneous programming | |
| Weitere Schlagwörter | performance analysis | |
| Weitere Schlagwörter | tracing | |
| Weitere Schlagwörter | Score-P | |
| Entstehungsjahr oder Entstehungszeitraum | 2013-2019 | |
| Veröffentlichungsjahr | 2019 | |
| Herausgeber | Technische Universität Dresden | |
| Referenzen auf ergänzende Materialien | IsDerivedFrom: https://github.com/rdietric/casita (URL) | |
| Referenzen auf ergänzende Materialien | IsDocumentedBy: 10.1109/ICPPW.2014.35 (DOI) | |
| Referenzen auf ergänzende Materialien | IsDocumentedBy: 10.1177/1094342016661865 (DOI) | |
| Inhalt der Forschungsdaten | Software: Source code of CASITA | |
| Eigene Spezifikation der Nutzungsrechte | Copyright (c) 2013-2019 Technische Universitaet Dresden, Germany All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of Technische Universitaet Dresden, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
| Inhaber der Nutzungsrechte | Technische Universität Dresden | |
| Nutzungsrechte des Datensatzes | Other | |
| Nähere Beschreibung der/s Fachgebiete/s | High performance computing (HPC) covers all computing tasks that require more computing resources or memory capacity than available with normal desktop or workstation computers. The performance analysis of scalable, heterogeneous applications focuses on the efficient parallelization of programs. | |
| Angabe der Fachgebiete | Computer Science | de |
| Titel des Datensatzes | Critical path analysis tool for heterogeneous applications (CASITA) |
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Critical path analysis tool for heterogeneous applications [1]
CASITA is a tool for automatic analysis of OTF2 trace files that have been generated with Score-P. It determines program activities with high impact on the total program runtime and the load balancing. CASITA generates an OTF2 trace with additional information such as the critical path, waiting time, and the cause of wait states. The same metrics are used to generate a summary profile which rates activities according their potential to improve the program runtime and the load balancing. A summary of inefficient patterns exposes waiting times in the individual programming models and APIs.