Show simple item record

Subtitle: Source Code

Metadata

Additional titleSubtitle: Source Code
Other contributing persons, institutions or organisationsDietrich, Robert - ZIH - ProjectLeader
Other contributing persons, institutions or organisationsStolle, Jonas - WorkPackageLeader
Other contributing persons, institutions or organisationsSchmitt, Felix - WorkPackageLeader
Person(s) who is (are) responsible for the content of the research dataDietrich, Robert
Description of further data processingThe 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.
AbstractCASITA 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.
Additional keywordsoffloading
Additional keywordsheterogeneous programming
Additional keywordsperformance analysis
Additional keywordstracing
Additional keywordsScore-P
Year or period of data production2013-2019
Publication year2019
PublisherTechnische Universität Dresden
References on related materialsIsDerivedFrom: https://github.com/rdietric/casita (URL)
References on related materialsIsDocumentedBy: 10.1109/ICPPW.2014.35 (DOI)
References on related materialsIsDocumentedBy: 10.1177/1094342016661865 (DOI)
Content of the research dataSoftware: Source code of CASITA
Other specification of usage rightsCopyright (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.
Holder of usage rightsTechnische Universität Dresden
Usage rights of the dataOther
Additional precise description of disciplineHigh 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.
Discipline(s)Computer Sciencede
Title of the datasetCritical path analysis tool for heterogeneous applications (CASITA)


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

  • 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.

Show simple item record