TY - JOUR A1 - an Mey, Dieter A1 - Biersdorf, Scott A1 - Bischof, Christian A1 - Diethelm, Kai A1 - Eschweiler, Dominic A1 - Gerndt, Michael A1 - Knüpfer, Andreas A1 - Lorenz, Daniel A1 - Malony, Allen A1 - Nagel, Wolfgang E. A1 - Oleynik, Yury A1 - Rössel, Christian A1 - Saviankou, Pavel A1 - Schmidl, Dirk A1 - Shende, Sameer A1 - Wagner, Michael A1 - Wesarg, Bert A1 - Wolf, Felix ED - Bischof, Christian ED - Hegering, Heinz-Gerd ED - Nagel, Wolfgang E. ED - Wittum, Gabriel T1 - Score-P: A Unified Performance Measurement System for Petascale Applications JF - Competence in High Performance Computing 2010 N2 - The rapidly growing number of cores on modern supercomputers imposes scalability demands not only on applications but also on the software tools needed for their development. At the same time, increasing application and system complexity makes the optimization of parallel codes more difficult, creating a need for scalable performance-analysis technology with advanced functionality. However, delivering such an expensive technology can hardly be accomplished by single tool developers and requires higher degrees of collaboration within the HPC community. The unified performance-measurement system Score-P is a joint effort of several academic performance-tool builders, funded under the BMBF program HPC-Software für skalierbare Parallelrechner in the SILC project (Skalierbare Infrastruktur zur automatischen Leistungsanalyse paralleler Codes). It is being developed with the objective of creating a common basis for several complementary optimization tools in the service of enhanced scalability, improved interoperability, and reduced maintenance cost. Y1 - 2012 SN - 978-3-642-24024-9 SN - 978-3-642-24025-6 U6 - https://doi.org/10.1007/978-3-642-24025-6_8 SP - 85 EP - 97 PB - Springer CY - Berlin, Heidelberg ER -