Cell Charge Approximation for Accelerating Molecular Simulation on CUDA-Enabled GPU
Dept. of Computer Science and Engineering National Institute of Technology Calicut, Calicut, India
International Journal of Computer-Aided technologies (IJCAx), Vol.1, No.2, 2014
@article{shyam2014cell,
title={Cell Charge Approximation for Accelerating Molecular Simulation on CUDA-Enabled GPU},
author={Shyam Mohan, KT and Jayaraj, PB},
year={2014}
}
Methods for Molecular Dynamics(MD) simulations are investigated. MD simulation is the widely used computer simulation approach to study the properties of molecular system. Force calculation in MD is computationally intensive. Parallel programming techniques can be applied to improve those calculations. The major aim of this paper is to speed up the MD simulation calculations by/using General Purpose Graphics Processing Unit(GPU) computing paradigm, an efficient and economical way for parallel computing. For that we are proposing a method called cell charge approximation which treats the electrostatic interactions in MD simulations.This method reduces the complexity of force calculations.
August 7, 2014 by hgpu
