@inproceedings{84e83f0017b54d9da3804f74e098ea40,
title = "Performance modelling of magnetohydrodynamics codes",
abstract = "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.",
author = "Bird, {R. F.} and Wright, {S. A.} and Beckingsale, {D. A.} and Jarvis, {S. A.}",
year = "2013",
doi = "10.1007/978-3-642-36781-6_14",
language = "English",
isbn = "9783642367809",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "197--209",
booktitle = "Computer Performance Engineering - 9th European Workshop, EPEW 2012, Revised Selected Papers",
note = "9th European Performance Engineering Workshop, EPEW 2012 ; Conference date: 30-07-2012 Through 30-07-2012",
}