CATWALK - A Quick Development Path for Performance Models

• Antragsteller: Professor Dr. Christian Bischof; Dr.-Ing. Bernd Mohr; Professor Dr. Gabriel Wittum; Professor Dr. Felix Wolf
• Fachliche Zuordnung: Rechnerarchitektur, eingebettete und massiv parallele Systeme
• Förderung: Förderung von 2012 bis 2016
• Projektkennung: Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 230954187

The cost of running applications at exascale will be tremendous. Reducing runtime and energy consumption of a code to a minimum is therefore crucial. Moreover, many existing applications suffer from inherent scalability limitations that will prevent them from running at exascale in the first place. Current tuning practices, which rely on diagnostic experiments, are insufficient because (i) they detect scalability problems too late in the development process when major effort has already been invested into an inadequate solution and (ii) they incur the extra cost of potentially numerous full-scale experiments. Analytical performance models, in contrast, allow application developers to address performance issues already during the design or prototyping phase. Unfortunately, the difficulties of creating such models combined with the lack of appropriate tool support still render performance modeling an esoteric discipline mastered only by a relatively small community of experts. The objective of this project is therefore to provide a flexible set of tools to support key activities of the performance modeling process, making this powerful methodology accessible to a wider audience of HPC application developers. The tool suite will be used to study and help improve the scalability of applications from life sciences, fluid dynamics, and particle physics.

• DFG-Verfahren: Schwerpunktprogramme
• Teilprojekt zu: SPP 1648: Software für Exascale Computing
• Internationaler Bezug: Schweiz
• Beteiligte Institution: Schweizerischer Nationalfonds (SNF)
• Beteiligte Person: Professor Torsten Hoefler, Ph.D.