The OPARA service was recently upgraded to a new technical platform. You are visiting the outdated OPARA website. Please use https://opara.zih.tu-dresden.de/ for new data submissions. Previously stored data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.
Critical path analysis tool for heterogeneous applications (CASITA)
Subtitle: Source Code
Metadata
| Additional title | Subtitle: Source Code | |
| Other contributing persons, institutions or organisations | Dietrich, Robert - ZIH - ProjectLeader | |
| Other contributing persons, institutions or organisations | Stolle, Jonas - WorkPackageLeader | |
| Other contributing persons, institutions or organisations | Schmitt, Felix - WorkPackageLeader | |
| Person(s) who is (are) responsible for the content of the research data | Dietrich, Robert | |
| Description of further data processing | 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. | |
| Abstract | 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. | |
| Additional keywords | offloading | |
| Additional keywords | heterogeneous programming | |
| Additional keywords | performance analysis | |
| Additional keywords | tracing | |
| Additional keywords | Score-P | |
| Year or period of data production | 2013-2019 | |
| Publication year | 2019 | |
| Publisher | Technische Universität Dresden | |
| References on related materials | IsDerivedFrom: https://github.com/rdietric/casita (URL) | |
| References on related materials | IsDocumentedBy: 10.1109/ICPPW.2014.35 (DOI) | |
| References on related materials | IsDocumentedBy: 10.1177/1094342016661865 (DOI) | |
| Content of the research data | Software: Source code of CASITA | |
| Other specification of usage rights | 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. | |
| Holder of usage rights | Technische Universität Dresden | |
| Usage rights of the data | Other | |
| Additional precise description of discipline | 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. | |
| Discipline(s) | Computer Science | de |
| Title of the dataset | Critical path analysis tool for heterogeneous applications (CASITA) |
Files in this item
This item appears in the following Collection(s)
-
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.