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Locality properties of 3D data orderings with application to parallel molecular dynamics simulations

Al-Kharusi, Ibrahim and Walker, David W 2019. Locality properties of 3D data orderings with application to parallel molecular dynamics simulations. International Journal of High Performance Computing Applications 33 (5) , pp. 998-1018. 10.1177/1094342019846282

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Abstract

Application performance on graphical processing units (GPUs), in terms of execution speed and memory usage, depends on the efficient use of hierarchical memory. It is expected that enhancing data locality in molecular dynamic simulations will lower the cost of data movement across the GPU memory hierarchy. The work presented in this article analyses the spatial data locality and data reuse characteristics for row-major, Hilbert and Morton orderings and the impact these have on the performance of molecular dynamics simulations. A simple cache model is presented, and this is found to give results that are consistent with the timing results for the particle force computation obtained on NVidia GeForce GTX960 and Tesla P100 GPUs. Further analysis of the observed memory use, in terms of cache hits and the number of memory transactions, provides a more detailed explanation of execution behaviour for the different orderings. To the best of our knowledge, this is the first study to investigate memory analysis and data locality issues for molecular dynamics simulations of Lennard-Jones fluids on NVidia’s Maxwell and Tesla architectures.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Advanced Research Computing @ Cardiff (ARCCA)
Publisher: SAGE Publications
ISSN: 1094-3420
Date of First Compliant Deposit: 6 June 2019
Date of Acceptance: 24 March 2019
Last Modified: 19 Oct 2019 17:41
URI: http://orca.cf.ac.uk/id/eprint/123194

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