Implicit Incompressible SPH on the GPU

Autor: Goswami, Prashant, Eliasson, André, Franzén, Pontus
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Popis: This paper presents CUDA-based parallelization of implicit incompressible SPH (IISPH) on the GPU. Along with the detailed exposition of our implementation, we analyze various components involved for their costs. We show that our CUDA version achieves near linear scaling with the number of particles and is faster than the multi-core parallelized IISPH on the CPU. We also present a basic comparison of IISPH with the standard SPH on GPU.
Databáze: OpenAIRE