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Issue title: Large-Scale Programming Tools and Environments
Article type: Research Article
Authors: Wylie, Brian J.N.; | Geimer, Markus | Wolf, Felix;
Affiliations: Jülich Supercomputing Centre, Forschungszentrum Jülich, Jülich, Germany | Department of Computer Science, RWTH Aachen University, Aachen, Germany
Note: [] Corresponding author: Brian J.N. Wylie, Jülich Supercomputing Centre, Forschungszentrum Jülich, D-52425 Jülich, Germany. Tel.: +49 2461 61 6589; Fax: +49 2461 61 6656; E-mail: b.wylie@ fz-juelich.de.
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.
Keywords: Large-scale parallel applications and systems, performance measurement and analysis
DOI: 10.3233/SPR-2008-0255
Journal: Scientific Programming, vol. 16, no. 2-3, pp. 167-181, 2008
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