Performance analysis of SSE instructions in multi-core CPUs and GPU computing on FDTD scheme for solid and fluid vibration problems

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dc.contributorHolografía y Procesado Ópticoes
dc.contributor.authorFrancés, Jorge-
dc.contributor.authorBleda, Sergio-
dc.contributor.authorMárquez, Andrés-
dc.contributor.authorNeipp, Cristian-
dc.contributor.authorGallego, Sergi-
dc.contributor.authorOtero Calviño, Beatriz-
dc.contributor.authorBeléndez, Augusto-
dc.contributor.otherUniversidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señales
dc.contributor.otherUniversidad de Alicante. Departamento de Óptica, Farmacología y Anatomíaes
dc.contributor.otherUniversidad de Alicante. Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologíases
dc.contributor.otherUniversidad Politécnica de Cataluña. Departamento de Arquitectura de Computadoreses
dc.identifier.citationFRANCÉS MONLLOR, Jorge, et al. “Performance analysis of multi-core CPUs and GPU computing on SF- FDTD scheme for third order nonlinear materials and periodic media”. En: CMMSE 2013 : Proceedings of the 13th International Conference on Mathematical Methods in Science and Engineering, Almería, Spain, June 24-26, 2013 / ed. I.P. Hamiltion & J. Vigo-Aguiar. Almería : CMMSE, 2013. ISBN 978-84-616-2723-3, pp. 681-692es
dc.description.abstractIn this work a unified treatment of solid and fluid vibration problems is developed by means of the Finite-Difference Time-Domain (FDTD). The scheme here proposed introduces a scaling factor in the velocity fields that improves the performance of the method and the vibration analysis in heterogenous media. In order to accurately reproduce the interaction of fluids and solids in FDTD both time and spatial resolutions must be reduced compared with the set up used in acoustic FDTD problems. This aspect implies the use of bigger grids and hence more time and memory resources. For reducing the time simulation costs, FDTD code has been adapted in order to exploit the resources available in modern parallel architectures. For CPUs the implicit usage of the streaming SIMD (Singe Instruction Multiple Data) extensions in multi-core CPUs has been considered. In addition, the computation has been distributed along the different cores available by means of OpenMP directives. Graphic Processing Units (GPU) have been also considered and the degree of improvement achieved by means of this parallel architecture has been compared with the highly-tuned CPU scheme by means of the relative speed up. The speed up obtained by the parallel versions implemented were up to 7 and 30 times faster than the best sequential version for CPU and GPU respectively. Results obtained with both parallel approaches demonstrate that parallel programming techniques are mandatory in solid-vibration problems with
dc.description.sponsorshipThis work was supported by the “Ministerio de Economía y Competitividad” of Spain under projects FIS2011-29803-C02-01 and TIN2007-60625 and by the “Generalitat Valenciana” of Spain under projects PROMETEO/2011/021 and ISIC/2012/
dc.rights© Copyright 2013 CMMSEes
dc.subjectFinite-Difference Time-Domaines
dc.subjectGraphics processing unitses
dc.subject.otherFísica Aplicadaes
dc.titlePerformance analysis of SSE instructions in multi-core CPUs and GPU computing on FDTD scheme for solid and fluid vibration problemses
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