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Scalable performance measurement infrastructure for parallel codes (Score-P)

Authors: Feld, Christian; Jäkel, René; Lorenz, Daniel; Wesarg, Bert; Schmidl, Dirk; Tschüter, Ronny; Oleynik, Yury; +33 Authors

Scalable performance measurement infrastructure for parallel codes (Score-P)

Abstract

The Score-P measurement infrastructure is a highly scalable and easy-to-use tool suite for profiling, event tracing, and online analysis of HPC applications. Score-P offers the user a maximum of convenience by supporting a number of analysis tools. Currently, it works with Periscope, Scalasca, Vampir, and Tau and is open for other tools. Score-P comes together with the new Open Trace Format Version 2, the Cube4 profiling format and the Opari2 instrumenter. Score-P is available under the 3-clause BSD Open Source license. Version 4.1 is a is a bugfix release for version 4.0.

{"references": ["https://doi.org/10.1007/978-3-642-31476-6_7"]}

Keywords

instrumentation, sampling, Score-P, HPC, Performance measurement, profiling, tracing

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selected citations
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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).
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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!
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