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  • 1-s2.0-S0045793018301051-main

    Rights statement: This is the author’s version of a work that was accepted for publication in Computers and Fluids. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Fluids, 173, 2018 DOI: 10.1016/j.compfluid.2018.03.007

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    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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Load balance and Parallel I/O: Optimising COSA for large simulations

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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<mark>Journal publication date</mark>15/09/2018
<mark>Journal</mark>Computers and Fluids
Volume173
Number of pages10
Pages (from-to)206-215
Publication StatusPublished
Early online date5/03/18
<mark>Original language</mark>English

Abstract

This paper presents the optimisation of the parallel functionalities of the Navier-Stokes Computational Fluid Dynamics research code COSA, a finite volume structured multi-block code featuring a steady solver, a general purpose time-domain solver, and a frequency-domain harmonic balance solver for the rapid solution of unsteady periodic flows. The optimisation focuses on improving the scalability of the parallel input/output functionalities of the code and developing an effective and user-friendly load balancing approach. Both features are paramount for using COSA efficiently for large-scale production simulations using tens of thousands of computational cores. The efficiency enhancements resulting from optimising the parallel I/O functionality and addressing load balance issues has provided up to a 4x performance improvement for unbalanced simulations, and 2x performance improvements for balanced simulations.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Computers and Fluids. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers and Fluids, 173, 2018 DOI: 10.1016/j.compfluid.2018.03.007