Performance measurement and analysis of large-scale parallel applications on leadership computing systems

Authors:
Brian J. N. Wylie;Markus Geimer;Felix Wolf
Affiliations:
(Correspd. Tel.: +49 2461 61 6589/ Fax: +49 2461 61 6656/ E-mail: b.wylie@ fz-juelich.de) Jü/lich Supercomputing Ctr., Forschungszentrum Jü/lich, Jü/lich, Germany;Jü/lich Supercomputing Centre, Forschungszentrum Jü/lich, Jü/lich, Germany;Jü/lich Supercomputing Centre, Forschungszentrum Jü/lich, Jü/lich, Germany and Department of Computer Science, RWTH Aachen University, Aachen, Germany
Venue:
Scientific Programming - Large-Scale Programming Tools and Environments
Year:
2008

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Abstract

Developers of applications with large-scale computing requirements are currently presented with a variety of high-performance systems optimised for message-passing, however, effectively exploiting the available computing resources remains a major challenge. In addition to fundamental application scalability characteristics, application and system peculiarities often only manifest at extreme scales, requiring highly scalable performance measurement and analysis tools that are convenient to incorporate in application development and tuning activities. We present our experiences with a multigrid solver benchmark and state-of-the-art real-world applications for numerical weather prediction and computational fluid dynamics, on three quite different multi-thousand-processor supercomputer systems - Cray XT3/4, MareNostrum & Blue Gene/L - using the newly-developed SCALASCA toolset to quantify and isolate a range of significant performance issues.