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

Jackson, Adrian and Campobasso, M. Sergio and Drofelnik, jernej (2018) Load balance and Parallel I/O : Optimising COSA for large simulations. Computers and Fluids, 173. pp. 206-215. ISSN 0045-7930

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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.

Item Type:

Journal Article

Journal or Publication Title:

Computers and Fluids

Additional Information:

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

Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/2200/2200

Subjects:

?? ogeneral engineeringgeneral computer scienceengineering(all)computer science(all) ??

Departments:

Faculty of Science and Technology > Engineering

ID Code:

123884

Deposited By:

ep_importer_pure

Deposited On:

07 Mar 2018 13:28

Refereed?:

Yes

Published?:

Published

Last Modified:

03 Nov 2024 01:13

URI:

https://eprints.lancs.ac.uk/id/eprint/123884