2022
DOI: 10.1016/j.jcp.2022.111234
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VecDualSPHysics: A vectorized implementation of Smoothed Particle Hydrodynamics method for simulating fluid flows on multi-core processors

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Cited by 6 publications
(2 citation statements)
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“…The main obstacle that prevents its application to solving large scale real world problems is its computation complexity. Over the last several decades, a lot of research effort [5]; [6]; [7]; [8]; [9]; [10]; [11] has been devoted to improving the computation efficiency of SPH. In SPH, particles only interacts with neighboring particles within a specific range.…”
Section: Introductionmentioning
confidence: 99%
“…The main obstacle that prevents its application to solving large scale real world problems is its computation complexity. Over the last several decades, a lot of research effort [5]; [6]; [7]; [8]; [9]; [10]; [11] has been devoted to improving the computation efficiency of SPH. In SPH, particles only interacts with neighboring particles within a specific range.…”
Section: Introductionmentioning
confidence: 99%
“…In [13], vectorization was used to speed up FFT algorithms. The authors of [14] considered stencilbased operations and [15] used AVX2 and AVX-512 to accelerate mesh-free particle hydrodynamics. Also recently, the authors of [16] adapted the Gram-Schmidt algorithm, which is at the core of many numerical applications, for vectorized execution.…”
Section: General Introductionmentioning
confidence: 99%