@article{anMeyBiersdorfBischofetal., author = {an Mey, Dieter and Biersdorf, Scott and Bischof, Christian and Diethelm, Kai and Eschweiler, Dominic and Gerndt, Michael and Kn{\"u}pfer, Andreas and Lorenz, Daniel and Malony, Allen and Nagel, Wolfgang E. and Oleynik, Yury and R{\"o}ssel, Christian and Saviankou, Pavel and Schmidl, Dirk and Shende, Sameer and Wagner, Michael and Wesarg, Bert and Wolf, Felix}, title = {Score-P: A Unified Performance Measurement System for Petascale Applications}, series = {Competence in High Performance Computing 2010}, journal = {Competence in High Performance Computing 2010}, editor = {Bischof, Christian and Hegering, Heinz-Gerd and Nagel, Wolfgang E. and Wittum, Gabriel}, publisher = {Springer}, address = {Berlin, Heidelberg}, isbn = {978-3-642-24024-9}, doi = {10.1007/978-3-642-24025-6_8}, pages = {85 -- 97}, abstract = {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 f{\"u}r 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.}, language = {en} } @article{KnuepferRoesselanMeyetal., author = {Kn{\"u}pfer, Andreas and R{\"o}ssel, Christian and an Mey, Dieter and Diethelm, Kai and Biersdorf, Scott and Eschweiler, Dominic and Geimer, Markus and Gerndt, Michael and Lorenz, Daniel and Malony, Allen and Nagel, Wolfgang E. and Oleynik, Yury and Philippen, Peter and Saviankou, Pavel and Schmidl, Dirk and Shende, Sameer and Tsch{\"u}ter, Ronny and Wagner, Michael and Wesarg, Bert and Wolf, Felix}, title = {Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir}, series = {Tools for High Performance Computing 2011}, journal = {Tools for High Performance Computing 2011}, editor = {Brunst, Holger and M{\"u}ller, Matthias S. and Nagel, Wolfgang E. and Resch, Michael M.}, publisher = {Springer}, address = {Berlin, Heidelberg}, isbn = {978-3-642-31475-9}, doi = {10.1007/978-3-642-31476-6_7}, pages = {79 -- 91}, 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.}, language = {en} }