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Parallel and Distributed Processing Symposium, International (2008)
Miami, FL, USA
Apr. 14, 2008 to Apr. 18, 2008
ISBN: 978-1-4244-1693-6
pp: 1-8
Laxmikant V. Kale , Department of Computer Science, University of Illinois at Urbana-Champaign, USA
Chee Wai Lee , Department of Computer Science, University of Illinois at Urbana-Champaign, USA
Celso Mendes , Department of Computer Science, University of Illinois at Urbana-Champaign, USA
ABSTRACT
Performance analysis tools based on event tracing are important for understanding the complex computational activities and communication patterns in high performance applications. The purpose of these tools is to help applications scale well to large numbers of processors. However, the tools themselves have to be scalable. As application problem sizes grow larger to exploit larger machines, the volume of performance trace data generated becomes unmanagable especially as we scale to tens of thousands of processors. Simultaneously, at analysis time, the amount of information that has to be presented to a human analyst can also become overwhelming.
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CITATION
Laxmikant V. Kale, Chee Wai Lee, Celso Mendes, "Towards scalable performance analysis and visualization through data reduction", Parallel and Distributed Processing Symposium, International, vol. 00, no. , pp. 1-8, 2008, doi:10.1109/IPDPS.2008.4536187
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