@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} } @article{SchuchartGerndtKjeldsbergetal., author = {Schuchart, Joseph and Gerndt, Michael and Kjeldsberg, Per Gunnar and Diethelm, Kai and Lysaght, Michael and Hor{\´a}k, David and Ř{\´i}ha, Lubom{\´i}r and Gocht, Andreas and Sourouri, Mohammed and Kumaraswamy, Madhura and Chowdhury, Anamika and Jahre, Magnus and Bouizi, Othman and Sabir Mian, Umbreen and Kruž{\´i}k, Jakub and Sojka, Radim and Beseda, Martin and Kannan, Venkatesh and Bendifallah, Zakaria and Hackenberg, Daniel and Nagel, Wolfgang E.}, title = {The READEX formalism for automatic tuning for energy efficiency}, series = {Computing}, volume = {99}, journal = {Computing}, doi = {10.1007/s00607-016-0532-7}, pages = {727 -- 745}, abstract = {Energy efficiency is an important aspect of future exascale systems, mainly due to rising energy cost. Although High performance computing (HPC) applications are compute centric, they still exhibit varying computational characteristics in different regions of the program, such as compute-, memory-, and I/O-bound code regions. Some of today's clusters already offer mechanisms to adjust the system to the resource requirements of an application, e.g., by controlling the CPU frequency. However, manually tuning for improved energy efficiency is a tedious and painstaking task that is often neglected by application developers. The European Union's Horizon 2020 project READEX (Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing) aims at developing a tools-aided approach for improved energy efficiency of current and future HPC applications. To reach this goal, the READEX project combines technologies from two ends of the compute spectrum, embedded systems and HPC, constituting a split design-time/runtime methodology. From the HPC domain, the Periscope Tuning Framework (PTF) is extended to perform dynamic auto-tuning of fine-grained application regions using the systems scenario methodology, which was originally developed for improving the energy efficiency in embedded systems. This paper introduces the concepts of the READEX project, its envisioned implementation, and preliminary results that demonstrate the feasibility of this approach.}, language = {en} } @incollection{KjeldsbergSchoeneGerndtetal., author = {Kjeldsberg, Per Gunnar and Sch{\"o}ne, Robert and Gerndt, Michael and Diethelm, Kai and Ř{\´i}ha, Lubom{\´i}r and Kannan, Venkatesh and Sawley, Marie-Christine and Zapletal, Jan and Gocht, Andreas and Reissmann, Nico and Vysocky, Ondrei and Kumaraswamy, Madhura and Nagel, Wolfgang E.}, title = {Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing}, series = {System-Scenario-based Design Principles and Applications}, booktitle = {System-Scenario-based Design Principles and Applications}, editor = {Catthoor, Francky and Basten, Twan and Zompakis, Nikolaos and Geilen, Marc and Kjeldsberg, Per Gunnar}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-20342-9}, doi = {10.1007/978-3-030-20343-6_6}, pages = {113 -- 126}, abstract = {As in the embedded systems domain, energy efficiency has recently become one of the main design criteria in high performance computing. The European Union Horizon 2020 project READEX (Run-time Exploitation of Application Dynamism for Energy-efficient eXascale computing) has developed a tools-aided auto-tuning methodology inspired by system scenario based design. Applying similar concepts as those presented in earlier chapters of this book, the dynamic behavior of HPC applications is exploited to achieve improved energy efficiency and performance. Driven by a consortium of European experts from academia, HPC resource providers, and industry, the READEX project has developed the first generic framework of its kind for split design-time and run-time tuning while targeting heterogeneous systems at the Exascale level. Using a real-life boundary element application, energy savings of more than 30\% can be shown.}, language = {en} }