Conference paper

DVOŘÁK Radim, ŠIMEK Václav, ZBOŘIL František V. and DRÁBEK Vladimír. GPU Accelerated Solver of Time-Dependent Air Pollutant Transport Equations. In: 12th EUROMICRO Conference on Digital System Design DSD 2009. Patras: IEEE Computer Society, 2009, pp. 1-7. ISBN 978-0-7695-3277-6.
Publication language:english
Original title:GPU Accelerated Solver of Time-Dependent Air Pollutant Transport Equations
Title (cs):Využití platformy GPU pro urychlení výpočtu časově závislých atmosferických rovnic
Pages:1-7
Proceedings:12th EUROMICRO Conference on Digital System Design DSD 2009
Conference:12th EUROMICRO Conference on Digital System Design, DSD'2009
Place:Patras, GR
Year:2009
ISBN:978-0-7695-3277-6
Publisher:IEEE Computer Society
Keywords
CUDA; GPU; advection-diffusion equation; partial differential equation; Runge-Kutta; acceleration
Annotation
Main objective of this paper is to outline possible ways how to achieve a substantial acceleration in case of advection-diffusion equation (A-DE) calculation, which is commonly used for a description of the pollutant behavior in atmosphere. A-DE is a kind of partial differential equation (PDE) and in general case it is usually solved by numerical integration due to its high complexity. These types of calculations are time consuming thus the main idea of our work is to adopt CUDA platform and commodity GPU card to do the calculations in a faster way. The solution is based on method of lines with 4th order Runge-Kutta scheme to handle the integration. As a matter of fact, the selected approach involves number of auxiliary variables and thus the memory management is critical in order to achieve desired performance. From a technical point of view, we have implemented a particular variant of the A-DE system, where the pollutant concentration is time-dependent. An efficient data handling is primarily based on the exploitation of shared memory blocks and texture caches inside GPU chip. Detailed evaluation of the obtained results is given in this paper where an astonishing execution speed up of GPU-based solution is demonstrated in comparison to standard CPU.
BibTeX:
@INPROCEEDINGS{
   author = {Radim Dvo{\v{r}}{\'{a}}k and V{\'{a}}clav {\v{S}}imek and V.
	Franti{\v{s}}ek Zbo{\v{r}}il and Vladim{\'{i}}r Dr{\'{a}}bek},
   title = {GPU Accelerated Solver of Time-Dependent Air Pollutant
	Transport Equations},
   pages = {1--7},
   booktitle = {12th EUROMICRO Conference on Digital System Design DSD 2009},
   year = {2009},
   location = {Patras, GR},
   publisher = {IEEE Computer Society},
   ISBN = {978-0-7695-3277-6},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=8950}
}

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