2015
DOI: 10.1108/ec-07-2013-0176
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Acceleration of free-vibrations analysis with the Dual Reciprocity BEM based on ℋ-matrices and CUDA

Abstract: Purpose -The purpose of this paper is to present a novel strategy used for acceleration of free-vibration analysis, in which the hierarchical matrices structure and Compute Unified Device Architecture (CUDA) platform is applied to improve the performance of the traditional dual reciprocity boundary element method (DRBEM). Design/methodology/approach -The DRBEM is applied in forming integral equation to reduce complexity. In the procedure of optimization computation, ℋ-Matrices are introduced by applying adapti… Show more

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Cited by 4 publications
(2 citation statements)
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References 45 publications
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“…As grid nodes increase, the performance of GPU is given full play and the speed-up increases monotonically. However, parallel computing with GPU consumes more storage space than serial codes and device memory is needed (Wei et al , 2015). Memory access becomes the main limitation of speed-up when grid scales reach a certain degree, which should be given more consideration in the future work.…”
Section: The Application Of Graphics Processing Unit-enabled Solvermentioning
confidence: 99%
“…As grid nodes increase, the performance of GPU is given full play and the speed-up increases monotonically. However, parallel computing with GPU consumes more storage space than serial codes and device memory is needed (Wei et al , 2015). Memory access becomes the main limitation of speed-up when grid scales reach a certain degree, which should be given more consideration in the future work.…”
Section: The Application Of Graphics Processing Unit-enabled Solvermentioning
confidence: 99%
“…CUDA enables programmers to use an extensive C programming language based on a few easily learned abstractions for parallel programming, which is much easier than OpenCL. Many GPU-based studies are implemented using CUDA (Wei, 2015;Iványi, 2018;Mašek and Vo rechovský, 2018). Joldes et al (2010) used CUDA to implement a suite of nonlinear explicit FE algorithms for brain shift computation.…”
Section: Introductionmentioning
confidence: 99%