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dc.contributor.authorIványi, Péter
dc.description.abstractThis paper discusses a new parallelization approach of the dynamic relaxation method, which is programmed with the NVIDIA CUDA API and executed on the graphics cards (GPU) of a computer. The main advantage of a GPU card is that it has a very large number of computing cores and a separate memory from the computer and they may reside inside a normal desktop computer. However due to architectural simplifications of the GPU systems, synchronization of cores is rather limited. This has a major effect on the parallelization, since the contribution of calculated values at the boundary nodes would require some form of synchronization. This limitation resulted in the new parallelization approach, where the nodes of the finite element mesh are distributed between the cores of the GPU and the elements are “duplicated”. The paper discusses the implementation details of this new parallel approach and some performance measurements of the new parallel dynamic relaxation method on GPU systems are also presented.
dc.format.extent11 p.
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits
dc.subject.lcshFinite element method
dc.subject.lcshAir-supported structures
dc.subject.otherDynamic relaxation, Parallel implementation, NVIDIA, CUDA
dc.titleHigh speed design and analysis of cable-membrane structures on graphics cards
dc.typeConference report
dc.subject.lemacEstructures pneumàtiques
dc.rights.accessOpen Access
local.citation.contributorStructural Membranes 2017
local.citation.publicationNameTextiles composites and inflatable structures VIII : proceedings of the VIII International Conference on Textile Composites and Inflatable Structures, Barcelona, Spain. 9-11 October, 2017

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