VecDualSPHysics: A vectorized implementation of Smoothed Particle Hydrodynamics method for simulating fluid flows on multi-core processors

Long, Sifan; Fan, Xiangyu; Li, Chao; Liu, Yi; Fan, Sijiang; Guo, Xijing; Yang, Canqun

doi:10.1016/j.jcp.2022.111234

Cited by 7 publications

(2 citation statements)

References 37 publications

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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%

Smoothed particle hydrodynamics method for free surface flow based on MPI parallel computing

et al. 2023

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In the field of computational fluid dynamics (CFD), smoothed particle hydrodynamics (SPH) is very suitable for simulating problems with large deformation, free surface flow and other types of flow scenarios. However, traditional smoothed particle hydrodynamics methods suffer from the problem of high computation complexity, which constrains their application in scenarios with accuracy requirements. DualSPHysics is an excellent smoothed particle hydrodynamics software proposed in academia. Based on this tool, this paper presents a largescale parallel smoothed particle hydrodynamics framework: parallelDualSPHysics, which can solve the simulation of large-scale free surface flow. First, an efficient domain decomposition algorithm is proposed. And the data structure of DualSPHysics in a parallel framework is reshaped. Secondly, we proposed a strategy of overlapping computation and communication to the parallel particle interaction and particle update module, which greatly improves the parallel efficiency of the smoothed particle hydrodynamics method. Finally, we also added the pre-processing and post-processing modules to enable parallelDualSPHysics to run in modern high performance computers. In addition, a thorough evaluation shows that the 3 to 120 million particles tested can still maintain more than 90% computing efficiency, which demonstrates that the parallel strategy can achieve superior parallel efficiency.

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Section: Introductionmentioning

confidence: 99%

Smoothed particle hydrodynamics method for free surface flow based on MPI parallel computing

et al. 2023

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“…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%

SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right-hand sides

et al. 2023

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Developments in numerical simulation of flows and high-performance computing influence one another. More detailed simulation methods create a permanent need for more computational power, while new hardware developments often require changes to the software to exploit new hardware features. This dependency is very pronounced in the case of vector-units which are featured by all modern processors to increase their numerical throughput but require vectorization of the software to be used efficiently. We study the vectorization of a simulation method that exhibits an inherent level of vector-parallelism. This is of particular interest as SIMD operations will hopefully be available with std::simd in a future C++ standard. The simulation method considered here results in the simultaneous solution of multiple sparse linear systems of equations which only differ by their main diagonal and right-hand sides. Such structure arises in the simulation of unsteady flow in turbomachinery by means of a frequency domain approach called harmonic balance.

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VLASPH: Smoothed Particle Hydrodynamics on VLA SIMD Architectures

Fan,

Ge,

Long

et al. 2024

Lecture Notes in Computer Science

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VecDualSPHysics: A vectorized implementation of Smoothed Particle Hydrodynamics method for simulating fluid flows on multi-core processors

Cited by 7 publications

References 37 publications

Smoothed particle hydrodynamics method for free surface flow based on MPI parallel computing

Smoothed particle hydrodynamics method for free surface flow based on MPI parallel computing

SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right-hand sides

VLASPH: Smoothed Particle Hydrodynamics on VLA SIMD Architectures

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