SPH on GPU with CUDA

Today, the use of modern high-performance computing (HPC) systems, such as clusters equipped with graphics processing units (GPUs), allows solving problems with resolutions unthinkable only a decade ago. The demand for high computational power is certainly an issue when simulating free-surface flows. However, taking the advantage of GPU's parallel computing techniques, simulations involving up to 10 9 particles can be achieved. In this framework, this chapter shows some numerical results of typical coastal engineering problems obtained by means of the GPU-based computing servers maintained at the Environmental Physics Laboratory (EPhysLab) from Vigo University in Ourense (Spain) and the Tier-1 Galileo cluster of the Italian computing centre CINECA. The DualSPHysics free package based on smoothed particle hydrodynamics (SPH) technique was used for the purpose. SPH is a meshless particle method based on Lagrangian formulation by which the fluid domain is discretized as a collection of computing fluid particles. Speedup and efficiency of calculations are studied in terms of the initial interparticle distance and by coupling DualSPHysics with a NLSW wave propagation model. Water free-surface elevation, orbital velocities and wave forces are compared with results from experimental campaigns and theoretical solutions.

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“…The same conclusion was drawn earlier in Ref. [69]. The first versions of SPH running on GPUs were presented in Ref.…”

Section: Introductionsupporting

confidence: 67%

Free-Surface Flow Simulations with Smoothed Particle Hydrodynamics Method using High-Performance Computing

Altomare¹,

Viccione²,

Tagliafierro³

et al. 2018

Computational Fluid Dynamics - Basic Instruments and Applications in Science

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“…Sorting particles helps to improve the texture memory coherence and decreases the lookup distances so the searching time decreases respectively. GPUSPH is reported (Hérault et al (2010)) to have a one to two orders of magnitude faster computational time than the equivalent CPU code and it can be run on a single or multiple Nvidia GPU cards.…”

Section: Gpu-sphmentioning

confidence: 99%

SPH Modeling of Mean Velocity Circulation in a Rip Current System

Farahani

Dalrymple

Hérault

et al. 2012

Int. Conf. Coastal. Eng.

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A Lagrangian numerical model called Smoothed ParticleHydrodynamics is used to analyze rip current system generated by a single bar and a rip channel. The pattern of the wave-induced circulation cell over the bar, the oppositely-rotating circulation cell on-shore and a strong seaward-directed current in the rip channel is modeled numerically. The mean horizontal variations of rip current system as well as three-dimensional circulations are studied. The results in three-dimensional space reveal the wave-current interaction and flow patterns in different parts of rip channel, bar, and the trough located near shore. For comparison to experimental data, Eulerian nodes are introduced to the numerical model and SPH interpolation over neighboring Lagrangian particles is implemented to find fluid parameters at those specific nodes. This methodology leads to a better understanding of depth-integrated flows and a more accurate comparison of numerical results with experimental results. Model predictions are compared to laboratory measurements of Drønen et al. (2002) and show good agreement, including mean velocity profiles, mean surface elevation and three-dimensional velocity components.

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“…Hérault et al (2010) Weiss et al (2010), Hérault, Bilotta, and Dalrymple (2010) and at the GPUSPH website:…”

Section: The Modelmentioning

confidence: 99%

Application of Gpu Smooth Particle Hydrodynamics: Wave Runup and Overtopping on Composite Slopes

Edge

Overton

Dalrymple

et al. 2012

Int. Conf. Coastal. Eng.

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Smooth Particle Hydrodynamics is a Lagrangian meshless numerical method with substantially improved capabilities in simulation of both fluid dynamics and solid mechanics due to its meshless nature. GPUSPH is an implementation of Smoothed Particle Hydrodynamics (SPH) on Nvidia CUDA-enabled (graphics) cards. In this paper the GPUSPH is applied to runup and overtopping applications and compared with experimental results from Roos and Battjes for a plane slope and Oaks, Edge and Lynett for complex bathymetry representing a complex levee transition. Results for both models show good comparison with experimental data and suggest GPUSPH as a reasonable tool for complex runup and overtopping problems.

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SPH on GPU with CUDA

Cited by 209 publications

References 7 publications

Free-Surface Flow Simulations with Smoothed Particle Hydrodynamics Method using High-Performance Computing

Free-Surface Flow Simulations with Smoothed Particle Hydrodynamics Method using High-Performance Computing

SPH Modeling of Mean Velocity Circulation in a Rip Current System

Application of Gpu Smooth Particle Hydrodynamics: Wave Runup and Overtopping on Composite Slopes

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