Scientific Programming

Scientific Programming / 2008 / Article
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Large-Scale Programming Tools and Environments

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Volume 16 |Article ID 632685 | https://doi.org/10.3233/SPR-2008-0255

Brian J.N. Wylie, Markus Geimer, Felix Wolf, "Performance Measurement and Analysis of Large-Scale Parallel Applications on Leadership Computing Systems", Scientific Programming, vol. 16, Article ID 632685, 15 pages, 2008. https://doi.org/10.3233/SPR-2008-0255

Performance Measurement and Analysis of Large-Scale Parallel Applications on Leadership Computing Systems

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.

Copyright © 2008 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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