Accelerated flow visualization of advective-diffusive mixing processes using GPUs

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Autore principale: Alejandro Aguilar Sierra
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad de Guanajuato 2012
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author Alejandro Aguilar Sierra
author_facet Alejandro Aguilar Sierra
contents Accelerated flow visualization of advective-diffusive mixing processes using GPUs Alejandro Aguilar Sierra Luis M. de la Cruz Salas Multidisciplinarias (Ciencias Sociales) real Difussive mixing time visualization GPU accelerated simulation In this article a strategy to accelerate the simulation and visualization of combined advective- diffusive mixing of a contaminant inside a square cavity with time-dependent boundary-conditions is presented. No moving walls are required to mix the fluid, but natural convection by periodic temperatures on opposite walls. A contaminant will diffuse asymptotically to uniform concentration. Advective mixing is evaluated with Lagrangian tracking and diffusive mixing is calculated with the Diffusive Strip method. That calculation requires hours of CPU time due to the large amount of numerical operations and the precision requested but it can be directly translated to a Graphics Processors Unit (GPU), improving the performance by orders of magnitude. The algorithms implemented in Compute Unified Device Architecture (CUDA) and an analysis of the speed achieved are presented. The visualization of the diffusion process is done simultaneously using the data stored in the GPU memory, which allows to make a real-time analysis of the mixing. 2012 artículo científico 0188-6266 https://www.redalyc.org/articulo.oa?id=41623360002 en http://www.redalyc.org/revista.oa?id=416 Acta Universitaria application/pdf Universidad de Guanajuato Acta Universitaria (México) Num.5 Vol.22
format Artículo científico
id redalyc_41623360002
institution Redalyc
language en
publishDate 2012
publisher Universidad de Guanajuato
spellingShingle Accelerated flow visualization of advective-diffusive mixing processes using GPUs
Alejandro Aguilar Sierra
Multidisciplinarias (Ciencias Sociales)
real
Difussive mixing
time visualization
GPU accelerated simulation
Accelerated flow visualization of advective-diffusive mixing processes using GPUs Alejandro Aguilar Sierra Luis M. de la Cruz Salas Multidisciplinarias (Ciencias Sociales) real Difussive mixing time visualization GPU accelerated simulation In this article a strategy to accelerate the simulation and visualization of combined advective- diffusive mixing of a contaminant inside a square cavity with time-dependent boundary-conditions is presented. No moving walls are required to mix the fluid, but natural convection by periodic temperatures on opposite walls. A contaminant will diffuse asymptotically to uniform concentration. Advective mixing is evaluated with Lagrangian tracking and diffusive mixing is calculated with the Diffusive Strip method. That calculation requires hours of CPU time due to the large amount of numerical operations and the precision requested but it can be directly translated to a Graphics Processors Unit (GPU), improving the performance by orders of magnitude. The algorithms implemented in Compute Unified Device Architecture (CUDA) and an analysis of the speed achieved are presented. The visualization of the diffusion process is done simultaneously using the data stored in the GPU memory, which allows to make a real-time analysis of the mixing. 2012 artículo científico 0188-6266 https://www.redalyc.org/articulo.oa?id=41623360002 en http://www.redalyc.org/revista.oa?id=416 Acta Universitaria application/pdf Universidad de Guanajuato Acta Universitaria (México) Num.5 Vol.22
title Accelerated flow visualization of advective-diffusive mixing processes using GPUs
topic Multidisciplinarias (Ciencias Sociales)
real
Difussive mixing
time visualization
GPU accelerated simulation
url https://www.redalyc.org/articulo.oa?id=41623360002