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Subtitle: Source Code

Metadaten

Ergänzende TitelSubtitle: Source Code
Weitere mitwirkende Personen, Institutionen oder UnternehmenDietrich, Robert - ZIH - ProjectLeader
Weitere mitwirkende Personen, Institutionen oder UnternehmenStolle, Jonas - WorkPackageLeader
Weitere mitwirkende Personen, Institutionen oder UnternehmenSchmitt, Felix - WorkPackageLeader
Für den Inhalt der Forschungsdaten verantwortliche Person(en)Dietrich, Robert
Beschreibung der weiteren DatenverarbeitungThe 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.
KurzbeschreibungCASITA 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 Schlagwörteroffloading
Weitere Schlagwörterheterogeneous programming
Weitere Schlagwörterperformance analysis
Weitere Schlagwörtertracing
Weitere SchlagwörterScore-P
Entstehungsjahr oder Entstehungszeitraum2013-2019
Veröffentlichungsjahr2019
HerausgeberTechnische Universität Dresden
Referenzen auf ergänzende MaterialienIsDerivedFrom: https://github.com/rdietric/casita (URL)
Referenzen auf ergänzende MaterialienIsDocumentedBy: 10.1109/ICPPW.2014.35 (DOI)
Referenzen auf ergänzende MaterialienIsDocumentedBy: 10.1177/1094342016661865 (DOI)
Inhalt der ForschungsdatenSoftware: Source code of CASITA
Eigene Spezifikation der NutzungsrechteCopyright (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 NutzungsrechteTechnische Universität Dresden
Nutzungsrechte des DatensatzesOther
Nähere Beschreibung der/s Fachgebiete/sHigh 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 FachgebieteComputer Sciencede
Titel des DatensatzesCritical path analysis tool for heterogeneous applications (CASITA)


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  • Critical path analysis tool for heterogeneous applications [1]Open Access Icon
    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.

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