Performance modelling of magnetohydrodynamics codes

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Publication details

Title of host publicationComputer Performance Engineering - 9th European Workshop, EPEW 2012, Revised Selected Papers
DatePublished - 1 Mar 2013
Number of pages13
Volume7587 LNCS
Original languageEnglish

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7587 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Performance modelling is an important tool utilised by the High Performance Computing industry to accurately predict the run-time of science applications on a variety of different architectures. Performance models aid in procurement decisions and help to highlight areas for possible code optimisations. This paper presents a performance model for a magnetohydrodynamics physics application, Lare. We demonstrate that this model is capable of accurately predicting the run-time of Lare across multiple platforms with an accuracy of 90% (for both strong and weak scaled problems). We then utilise this model to evaluate the performance of future optimisations. The model is generated using SST/macro, the machine level component of the Structural Simulation Toolkit (SST) from Sandia National Laboratories, and is validated on both a commodity cluster located at the University of Warwick and a large scale capability resource located at Lawrence Livermore National Laboratory.

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