Publication detail
Towards Accelerated Computation of Atmospheric Equations using CUDA
ŠIMEK, V. DVOŘÁK, R. ZBOŘIL, F. KUNOVSKÝ, J.
Original Title
Towards Accelerated Computation of Atmospheric Equations using CUDA
English Title
Towards Accelerated Computation of Atmospheric Equations using CUDA
Type
conference paper
Language
en
Original Abstract
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. We have implemented several possible solutions that use different memory access schemes. Detailed evaluation is provided in this paper where the obtained results show a tremendous processing speed up in comparison to CPU.
English abstract
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. We have implemented several possible solutions that use different memory access schemes. Detailed evaluation is provided in this paper where the obtained results show a tremendous processing speed up in comparison to CPU.
Keywords
CUDA, GPU, advection-diffusion equation, partial differential equation, Runge-Kutta, CFD
RIV year
2009
Released
24.03.2009
Publisher
IEEE Computer Society
Location
Cambridge
ISBN
978-0-7695-3593-7
Book
Proceedings of Eleventh International Conference on Computer Modelling and Simulation
Edition
NEUVEDEN
Edition number
NEUVEDEN
Pages from
449
Pages to
454
Pages count
6
Documents
BibTex
@inproceedings{BUT30199,
author="Václav {Šimek} and Radim {Dvořák} and František {Zbořil} and Jiří {Kunovský}",
title="Towards Accelerated Computation of Atmospheric Equations using CUDA",
annote="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. We have implemented several
possible solutions that use different memory access schemes. Detailed evaluation
is provided in this paper where the obtained results show a tremendous processing
speed up in comparison to CPU.",
address="IEEE Computer Society",
booktitle="Proceedings of Eleventh International Conference on Computer Modelling and Simulation",
chapter="30199",
doi="10.1109/UKSIM.2009.25",
edition="NEUVEDEN",
howpublished="print",
institution="IEEE Computer Society",
year="2009",
month="march",
pages="449--454",
publisher="IEEE Computer Society",
type="conference paper"
}