Parallelization of the numerical simulation of motion of deformable objects within fluid domain on a GPU device

被引：0
|
作者：
Djukic T. [1 ]
Filipovic N. [1 ,2 ]
机构：
[1] BioIRC R and D Bioengineering Center, Prvoslava Stojanovica 6, Kragujevac
[2] Faculty of Engineering, University of Kragujevac, Sestre Janjic 6, Kragujevac
来源：
Djukic, T. (tijana@kg.ac.rs) | 2018年 / European Alliance for Innovation卷 / 04期
关键词：
CUDA architecture; Lattice Boltzmann method; NVIDIA; Parallelization speed-up; Solid-fluid interaction;
D O I：
10.4108/eai.28-2-2018.154143
中图分类号：
学科分类号：
摘要：
Computationally demanding numerical simulations can be significantly accelerated using GPU (Graphics Processing Unit) devices. This way, the results of the simulation can be observed in real time. In this paper, the principles of GPU programming are used to simulate the movement of deformable objects within fluid domain. Lattice Boltzmann (LB) method is used to simulate fluid flow. The solid-fluid interaction is modeled using the Immersed boundary method. The developed software was tested on a Tesla GPU device; the execution time of parallelized version and sequential version of the software are compared and significant speed-up is obtained. Fluid flow simulations in the field of biomedicine that needed up to several hours to be performed, can now be completed in just a few minutes. © 2018 T. Djukic and N. Filipovic.
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