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Toolset for scalable performance analysis of large-scale parallel applications (Scalasca)

Authors: Scalasca Developer Community;

Toolset for scalable performance analysis of large-scale parallel applications (Scalasca)

Abstract

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.

{"references": ["M. Geimer, F. Wolf, B.J.N. Wylie, E. Abraham, D. Becker, B. Mohr: \"The Scalasca performance toolset architecture,\" Concurrency and Computation: Practice and Experience, 22(6):702-719, April 2010. 10.1002/cpe.1556"]}

Keywords

trace tools, Score-P, HPC, MPI, OpenMP, performance analysis, Cube

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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342