This title appears in the Scientific Report :
2022
Please use the identifier:
http://dx.doi.org/10.5281/ZENODO.7440854 in citations.
Scalasca Trace Tools: Toolset for scalable performance analysis of large-scale parallel applications (v2.6.1)
Scalasca Trace Tools: Toolset for scalable performance analysis of large-scale parallel applications (v2.6.1)
Scalasca is a software tool that supports the performance optimization of parallel programs by measuring and analyzing their runtime behaviour. The analysis identifies potential performance bottlenecks – in particular those concerning communication and synchronization – and offers guidance in explor...
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Personal Name(s): | Geimer, Markus (Corresponding author) |
---|---|
Mohr, Bernd / Corbin, Gregor / Daoud, Nour / Feld, Christian / Hermanns, Marc-André / Knobloch, Michael / Reuter, Jan Andre / Saviankou, Pavel / Schlütter, Marc / Visser, Anke / Wylie, Brian J. N. / Zhukov, Ilya | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Imprint: |
2022
|
DOI: |
10.5281/ZENODO.7440854 |
Document Type: |
Software |
Research Program: |
Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups |
Edition: | 2.6.1 |
Subject (ZB): | |
Publikationsportal JuSER |
Scalasca is a software tool that supports the performance optimization of parallel programs by measuring and analyzing their runtime behaviour. The analysis identifies potential performance bottlenecks – in particular those concerning communication and synchronization – and offers guidance in exploring their causes. Scalasca supports the performance optimization of simulation codes on a wide range of current HPC platforms. Its powerful analysis and intuitive result presentation guides the developer through the tuning process. Scalasca targets mainly scientific and engineering applications based on the programming interfaces MPI and OpenMP, including hybrid applications based on a combination of the two. The tool has been specifically designed for use on large-scale systems, but is also well suited for small- and medium-scale HPC platforms. The software is available for free download under the New BSD open-source license. |