Literature DB >> 30147116

RPYFMM: Parallel Adaptive Fast Multipole Method for Rotne-Prager-Yamakawa Tensor in Biomolecular Hydrodynamics Simulations.

W Guan1, X Cheng2, J Huang1, G Huber3, W Li4, J A McCammon3, B Zhang5.   

Abstract

RPYFMM is a software package for the efficient evaluation of the potential field governed by the Rotne-Prager-Yamakawa (RPY) tensor interactions in biomolecular hydrodynamics simulations. In our algorithm, the RPY tensor is decomposed as a linear combination of four Laplace interactions, each of which is evaluated using the adaptive fast multipole method (FMM) [1] where the exponential expansions are applied to diagonalize the multipole-to-local translation operators. RPYFMM offers a unified execution on both shared and distributed memory computers by leveraging the DASHMM library [2, 3]. Preliminary numerical results show that the interactions for a molecular system of 15 million particles (beads) can be computed within one second on a Cray XC30 cluster using 12, 288 cores, while achieving approximately 54% strong-scaling efficiency.

Entities:  

Keywords:  Brownian dynamics; DASHMM; Fast multipole method; Hydrodynamics interactions; Rotne-Prager-Yamakawa tensor

Year:  2018        PMID: 30147116      PMCID: PMC6107314          DOI: 10.1016/j.cpc.2018.02.005

Source DB:  PubMed          Journal:  Comput Phys Commun        ISSN: 0010-4655            Impact factor:   4.390


  5 in total

1.  Simulation method of colloidal suspensions with hydrodynamic interactions: fluid particle dynamics

Authors: 
Journal:  Phys Rev Lett       Date:  2000-08-07       Impact factor: 9.161

2.  An O(N2) approximation for hydrodynamic interactions in Brownian dynamics simulations.

Authors:  Tihamér Geyer; Uwe Winter
Journal:  J Chem Phys       Date:  2009-03-21       Impact factor: 3.488

3.  Assessing the two-body diffusion tensor calculated by the bead models.

Authors:  Nuo Wang; Gary A Huber; J Andrew McCammon
Journal:  J Chem Phys       Date:  2013-05-28       Impact factor: 3.488

4.  Krylov subspace methods for computing hydrodynamic interactions in brownian dynamics simulations.

Authors:  Tadashi Ando; Edmond Chow; Yousef Saad; Jeffrey Skolnick
Journal:  J Chem Phys       Date:  2012-08-14       Impact factor: 3.488

5.  On the importance of hydrodynamic interactions in lipid membrane formation.

Authors:  Tadashi Ando; Jeffrey Skolnick
Journal:  Biophys J       Date:  2013-01-08       Impact factor: 4.033

  5 in total

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