Abstract
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.
Highlights
Modern computer scientific simulations of diverse problems, such as fluid flow simulations, can be extremely complex and require large computational resources
The basic principles of GPU programming are applied to the numerical simulation of motion of deformable objects within fluid domain
It should be noted that during these measurements, the number of nodes in the mesh describing the membrane of the deformable object was set to 100
Summary
Modern computer scientific simulations of diverse problems, such as fluid flow simulations, can be extremely complex and require large computational resources. GPU devices have already been successfully applied in several existing programs, such as in processing and analysis of medical images [1], molecular dynamics [2], DNA sequence alignment [3], bioinformatics pairwise sequence alignment [4], block decompositioning [5], graph component labelling [6], computation of shortest paths [7], etc. The basic principles of GPU programming are applied to the numerical simulation of motion of deformable objects within fluid domain. Execution time of sequential and parallelized version was compared for a specific test simulation.
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