![]() ![]() The use of modern high-performance computing (HPC) systems, such as clusters equipped with graphics processing units (GPUs) or central processing units (CPUs) structured into a multi-node framework, let academics and professionals solve free-surface flow problems with resolutions unthinkable just a decade ago. The non-stopping growing of computing power allowed increasing more and more spatial and temporal discretization when simulating engineering problems. Water free-surface elevation, orbital velocities and wave forces are compared with results from experimental campaigns and theoretical solutions. Speedup and efficiency of calculations are studied in terms of the initial interparticle distance and by coupling DualSPHysics with a NLSW wave propagation model. SPH is a meshless particle method based on Lagrangian formulation by which the fluid domain is discretized as a collection of computing fluid particles. The DualSPHysics free package based on smoothed particle hydrodynamics (SPH) technique was used for the purpose. 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. However, taking the advantage of GPU’s parallel computing techniques, simulations involving up to 109 particles can be achieved. The demand for high computational power is certainly an issue when simulating free-surface flows. 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. ![]()
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