Parallel Implementation of Dynamical Particle System for CUDA

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU123772" target="_blank" >RIV/00216305:26110/17:PU123772 - isvavai.cz</a>
Result on the web
<a href="http://www.ctresources.info/ccp/paper.html?id=9256" target="_blank" >http://www.ctresources.info/ccp/paper.html?id=9256</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Parallel Implementation of Dynamical Particle System for CUDA
Original language description
The presented paper deals with possible approaches to implementation of solution of dynamical particle system on the NVIDIA CUDA C/C++ platform, namely in scenarios of using the NVIDIA graphic cards with cores of the Kepler family. A simulation of a particle system is typically a computationally demanding task. However, it is possible and beneficial to make the computer implementation of the solution as parallel as possible. This degree of parallelism of the code is limited mainly by capabilities of the hardware used and by the requirements on numerical accuracy. The presented contribution discusses methodology of the solution algorithm, its parallelized CUDA C performance as well as a derivation and reasoning of correct potential formulation with respect to number of dimensions Nvar and points Nsim as the originally proposed Audze-Eglajs potential has been found to be malfunctioning.
Czech name
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Czech description
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Project
<a href="/en/project/GA16-22230S" target="_blank" >GA16-22230S: Development of advanced sampling methods for statistical analysis of structures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING
ISBN
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ISSN
1759-3433
e-ISSN
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Number of pages
12
Pages from-to
1-12
Publisher name
Civil-Comp Press
Place of publication
Stirlingshire, UK
Event location
University of P´ecs
Event date
May 30, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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