Performance prediction of weather forecasting software on multicore systems

Performance prediction is valuable in different areas of computing. The popularity of lease-based access to high performance computing resources particularly benefits from accurate performance prediction. Most contemporary processors are employing multiple computing cores, which complicates the task...

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Bibliographic Details
Published in2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW) pp. 1 - 8
Main Authors Delgado, Javier, Sadjadi, S Masoud, Bright, Marlon, Adjouadi, Malek, Duran-Limon, Hector A
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2010
Subjects
application modeling
Atmospheric modeling
Computational modeling
High performance computing
multicore
Multicore processing
performance prediction
Power system modeling
Predictive models
regression analysis
Software performance
Software systems
System testing
Weather forecasting
WRF
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Summary:Performance prediction is valuable in different areas of computing. The popularity of lease-based access to high performance computing resources particularly benefits from accurate performance prediction. Most contemporary processors are employing multiple computing cores, which complicates the task of performance prediction. In this paper, we describe the methodology employed for predicting the performance of a popular weather forecasting application on systems with between 4 and 256 processors. An average prediction error of less than 10% was achieved after testing on three different multi-node, multicore systems.
ISBN:9781424465330
1424465338
DOI:10.1109/IPDPSW.2010.5470759