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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F09%3APU82579%21RIV10-MSM-26230___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
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 s 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 s
dcterms:title
Towards Accelerated Computation of Atmospheric Equations using CUDA Towards Accelerated Computation of Atmospheric Equations using CUDA
skos:prefLabel
Towards Accelerated Computation of Atmospheric Equations using CUDA Towards Accelerated Computation of Atmospheric Equations using CUDA
skos:notation
RIV/00216305:26230/09:PU82579!RIV10-MSM-26230___
n3:aktivita
n11:Z
n3:aktivity
Z(MSM0021630528)
n3:dodaniDat
n9:2010
n3:domaciTvurceVysledku
n12:4633695 n12:2397218 n12:7382413 n12:7652488
n3:druhVysledku
n21:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
346553
n3:idVysledku
RIV/00216305:26230/09:PU82579
n3:jazykVysledku
n20:eng
n3:klicovaSlova
CUDA, GPU, advection-diffusion equation, partial differential equation, Runge-Kutta, CFD
n3:klicoveSlovo
n4:GPU n4:partial%20differential%20equation n4:Runge-Kutta n4:CFD n4:advection-diffusion%20equation n4:CUDA
n3:kontrolniKodProRIV
[4D5F694C765F]
n3:mistoKonaniAkce
Cambridge
n3:mistoVydani
Cambridge
n3:nazevZdroje
Proceedings of Eleventh International Conference on Computer Modelling and Simulation
n3:obor
n13:JC
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:rokUplatneniVysledku
n9:2009
n3:tvurceVysledku
Zbořil, František Dvořák, Radim Kunovský, Jiří Šimek, Václav
n3:typAkce
n5:WRD
n3:zahajeniAkce
2009-03-25+01:00
n3:zamer
n19:MSM0021630528
s:numberOfPages
6
n18:hasPublisher
IEEE Computer Society
n14:isbn
978-0-7695-3593-7
n17:organizacniJednotka
26230