6533b853fe1ef96bd12acd26
RESEARCH PRODUCT
A CUDA-based implementation of an improved SPH method on GPU
Louis AntonelliFrancesco GregorettiElisa FrancomanoElisa Francomanosubject
fast gauss transformScheme (programming language)0209 industrial biotechnologyComputer scienceApplied Mathematics020206 networking & telecommunications02 engineering and technologyFunction (mathematics)Computational scienceSmoothed-particle hydrodynamicsComputational MathematicsCUDAsymbols.namesakeSettore MAT/08 - Analisi Numerica020901 industrial engineering & automationgraphic processing unit0202 electrical engineering electronic engineering information engineeringTaylor seriessymbolsSmoothed Particle Hydrodynamics Fast Gauss Transform Graphics Processing Unit.Central processing unitsmoothed particle hydorodinamicscomputercomputer.programming_languagedescription
We present a CUDA-based parallel implementation on GPU architecture of a modified version of the Smoothed Particle Hydrodynamics (SPH) method. This modified formulation exploits a strategy based on the Taylor series expansion, which simultaneously improves the approximation of a function and its derivatives with respect to the standard formulation. The improvement in accuracy comes at the cost of an additional computational effort. The computational demand becomes increasingly crucial as problem size increases but can be addressed by employing fast summations in a parallel computational scheme. The experimental analysis showed that our parallel implementation significantly reduces the runtime, with speed-ups of up to 90,when compared to the CPU-based implementation.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-11-01 |