Score-P: A joint performance measurement run-time infrastructure for periscope, Scalasca, TAU, and Vampir

Andreas Knüpfer, Christian Rössel, Dieter An Mey, Scott Biersdorff, Kai Diethelm, Dominic Eschweiler, Markus Geimer, Michael Gerndt, Daniel Lorenz, Allen Malony, Wolfgang E. Nagel, Yury Oleynik, Peter Philippen, Pavel Saviankou, Dirk Schmidl, Sameer Shende, Ronny Tschüter, Michael Wagner, Bert Wesarg, Felix Wolf

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

287 Scopus citations

Abstract

This paper gives an overview about the Score-P performance measurement infrastructure which is being jointly developed by leading HPC performance tools groups. It motivates the advantages of the joint undertaking from both the developer and the user perspectives, and presents the design and components of the newly developed Score-P performance measurement infrastructure. Furthermore, it contains first evaluation results in comparison with existing performance tools and presents an outlook to the long-term cooperative development of the new system.

Original languageEnglish
Title of host publicationProceedings of the 5th International Workshop on Parallel Tools for High Performance Computing 2011
Pages79-91
Number of pages13
DOIs
StatePublished - 2012
Externally publishedYes
Event5th International Workshop on Parallel Tools for High Performance Computing, HPC 2011 - Dresden, Germany
Duration: 26 Sep 201127 Sep 2011

Publication series

NameProceedings of the 5th International Workshop on Parallel Tools for High Performance Computing 2011

Conference

Conference5th International Workshop on Parallel Tools for High Performance Computing, HPC 2011
Country/TerritoryGermany
CityDresden
Period26/09/1127/09/11

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