Search results for "Smoothed Particle Hydrodynamics method"

showing 4 items of 4 documents

On the Consistency Restoring in SPH

2009

Function approximationSettore MAT/08 - Analisi NumericaMeshless particle methodSmoothed Particle Hydrodynamics methodConsistency Restoring
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On the use of a meshless solver for PDEs governing electromagnetic transients

2009

In this paper some key elements of the Smoothed Particle Hydrodynamics methodology suitably reformulated for analyzing electromagnetic transients are investigated. The attention is focused on the interpolating smoothing kernel function which strongly influences the computational results. Some issues are provided by adopting the polynomial reproducing conditions. Validation tests involving Gaussian and cubic B-spline smoothing kernel functions in one and two dimensions are reported.

Mathematical optimizationPolynomialPartial differential equationApplied MathematicsB-splineNumerical analysisGaussianMeshless particle methodSmoothed Particle Hydrodynamics methodMaxwell's equationSolverSmoothed-particle hydrodynamicsSettore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaComputational Mathematicssymbols.namesakeElectromagnetic transientsymbolsApplied mathematicsSmoothingMathematicsApplied Mathematics and Computation
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Consistency Restoring in SPH for Trigonometric Functions Approximation

2009

Settore MAT/08 - Analisi NumericaMeshless particle methods Smoothed Particle Hydrodynamics method Consistency restoring Function approximation
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First Experiences on an Accurate SPH Method on GPUs

2017

It is well known that the standard formulation of the Smoothed Particle Hydrodynamics is usually poor when scattered data distribution is considered or when the approximation near the boundary occurs. Moreover, the method is computational demanding when a high number of data sites and evaluation points are employed. In this paper an enhanced version of the method is proposed improving the accuracy and the efficiency by using a HPC environment. Our implementation exploits the processing power of GPUs for the basic computational kernel resolution. The performance gain demonstrates the method to be accurate and suitable to deal with large sets of data.

SpeedupExploitGPUsComputer scienceComputer Networks and CommunicationsGPUSmoothed Particle Hydrodynamics method010103 numerical & computational mathematics01 natural sciencesComputational scienceSmoothed-particle hydrodynamicsInstruction setSettore MAT/08 - Analisi NumericaArtificial IntelligenceAccuracy; Approximation; GPUs; Kernel function; Smoothed particle hydrodynamics method; Speed-Up; Artificial Intelligence; Computer Networks and Communications; 1707; Signal Processing0101 mathematicsApproximationAccuracy1707Random access memoryLinear systemKernel functionSpeed-Up010101 applied mathematicsKernel (statistics)Signal Processing
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