DocumentCode :
586372
Title :
GPU-SD and DPD parallelization for Gromacs tools for molecular dynamics simulations
Author :
Goga, Nicolae ; Marrink, S. ; Cioromela, R. ; Moldoveanu, Florica
Author_Institution :
Mol. Dynamics Group, Univ. of Groningen, Groningen, Netherlands
fYear :
2012
fDate :
11-13 Nov. 2012
Firstpage :
251
Lastpage :
254
Abstract :
This article presents the GPU parallelization of new algorithms SD and DPD types for molecular dynamics systems developed by the Molecular Dynamics Group, University of Groningen, the Netherlands. One should note that molecular dynamics simulations are time-consuming simulations of systems, running time ranging from days to weeks and months. Therefore parallelization is a key issue for the well-running and use of MD software. The paper presents the main ingredients of GPU parallelization of the new algorithms and simulation results. It can be concluded that the parallelization through the use of graphical cards improves the performances of the runs as compared to the serial version of the code.
Keywords :
biology computing; graphics processing units; DPD parallelization; GPU-SD parallelization; Gromacs tools; MD software; graphical cards; molecular dynamics group; molecular dynamics simulations; Biological system modeling; Educational institutions; Friction; Graphics processing units; Heuristic algorithms; Kernel; CUDA programing; graphic cards systems; molecular dynamic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on
Conference_Location :
Larnaca
Print_ISBN :
978-1-4673-4357-2
Type :
conf
DOI :
10.1109/BIBE.2012.6399683
Filename :
6399683
Link To Document :
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