Pseudo-random number generation for Brownian dynamics and dissipative particle dynamics simulations on GPU devices

DOI10.1016/j.jcp.2011.05.021zbMath1231.82005OpenAlexW2006071024MaRDI QIDQ655040

Carolyn L. Phillips, Joshua A. Anderson, Sharon C. Glotzer

Publication date: 28 December 2011

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2011.05.021

zbMATH Keywords

molecular dynamicsrandom number generationBrownian dynamicsGPUdissipative particle dynamics

Mathematics Subject Classification ID

Related Items (7)

Massively parallel Monte Carlo for many-particle simulations on GPUs ⋮ On the numerical treatment of dissipative particle dynamics and related systems ⋮ \(\mathrm{Par}^2\): parallel random walk particle tracking method for solute transport in porous media ⋮ A GPU-based large-scale Monte Carlo simulation method for systems with long-range interactions ⋮ Dissipative Particle Dynamics: Foundation, Evolution, Implementation, and Applications ⋮ Random numbers for parallel computers: requirements and methods, with emphasis on gpus ⋮ Parallel implementation of isothermal and isoenergetic dissipative particle dynamics using Shardlow-like splitting algorithms

Uses Software

• CUDA
• TestU01
• TEA

Cites Work

• Toward a universal random number generator
• Enhanced molecular dynamics performance with a programmable graphics processor
• General purpose molecular dynamics simulations fully implemented on graphics processing units
• GPU-accelerated molecular dynamics simulation for study of liquid crystalline flows
• Bioinformatics and computational biology. First international conference, BICoB 2009, New Orleans, LA, USA, April 8--10, 2009. Proceedings
• TestU01
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