A CUDA-based implementation of an improved SPH method on GPU

L. Antonelli, E. Francomano and F. Gregoretti

Applied Mathematics and Computation, 2021, vol. 409, issue C

Abstract: 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, when compared to the CPU-based implementation.

Keywords: Smoothed particle hydrodynamics; Fast gauss transform; Graphics processing unit (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:409:y:2021:i:c:s0096300320304410

DOI: 10.1016/j.amc.2020.125482

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