Literature DB >> 26583997

MODYLAS: A Highly Parallelized General-Purpose Molecular Dynamics Simulation Program for Large-Scale Systems with Long-Range Forces Calculated by Fast Multipole Method (FMM) and Highly Scalable Fine-Grained New Parallel Processing Algorithms.

Yoshimichi Andoh1, Noriyuki Yoshii1, Kazushi Fujimoto1, Keisuke Mizutani1, Hidekazu Kojima1, Atsushi Yamada1, Susumu Okazaki1, Kazutomo Kawaguchi2, Hidemi Nagao2, Kensuke Iwahashi3, Fumiyasu Mizutani3, Kazuo Minami4, Shin-Ichi Ichikawa5, Hidemi Komatsu5, Shigeru Ishizuki5, Yasuhiro Takeda5, Masao Fukushima5.   

Abstract

Our new molecular dynamics (MD) simulation program, MODYLAS, is a general-purpose program appropriate for very large physical, chemical, and biological systems. It is equipped with most standard MD techniques. Long-range forces are evaluated rigorously by the fast multipole method (FMM) without using the fast Fourier transform (FFT). Several new methods have also been developed for extremely fine-grained parallelism of the MD calculation. The virtually buffering-free methods for communications and arithmetic operations, the minimal communication latency algorithm, and the parallel bucket-relay communication algorithm for the upper-level multipole moments in the FMM realize excellent scalability. The methods for blockwise arithmetic operations avoid data reload, attaining very small cache miss rates. Benchmark tests for MODYLAS using 65 536 nodes of the K-computer showed that the overall calculation time per MD step including communications is as short as about 5 ms for a 10 million-atom system; that is, 35 ns of simulation time can be computed per day. The program enables investigations of large-scale real systems such as viruses, liposomes, assemblies of proteins and micelles, and polymers.

Entities:  

Year:  2013        PMID: 26583997     DOI: 10.1021/ct400203a

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  9 in total

Review 1.  Molecular simulations by generalized-ensemble algorithms in isothermal-isobaric ensemble.

Authors:  Masataka Yamauchi; Yoshiharu Mori; Hisashi Okumura
Journal:  Biophys Rev       Date:  2019-05-21

2.  Multilevel summation with B-spline interpolation for pairwise interactions in molecular dynamics simulations.

Authors:  David J Hardy; Matthew A Wolff; Jianlin Xia; Klaus Schulten; Robert D Skeel
Journal:  J Chem Phys       Date:  2016-03-21       Impact factor: 3.488

3.  Multilevel summation for periodic electrostatics using B-splines.

Authors:  Hüseyin Kaya; David J Hardy; Robert D Skeel
Journal:  J Chem Phys       Date:  2021-04-14       Impact factor: 3.488

4.  GENESIS: a hybrid-parallel and multi-scale molecular dynamics simulator with enhanced sampling algorithms for biomolecular and cellular simulations.

Authors:  Jaewoon Jung; Takaharu Mori; Chigusa Kobayashi; Yasuhiro Matsunaga; Takao Yoda; Michael Feig; Yuji Sugita
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2015-05-07

5.  Multilevel summation method for electrostatic force evaluation.

Authors:  David J Hardy; Zhe Wu; James C Phillips; John E Stone; Robert D Skeel; Klaus Schulten
Journal:  J Chem Theory Comput       Date:  2015-02-10       Impact factor: 6.006

6.  myPresto/omegagene: a GPU-accelerated molecular dynamics simulator tailored for enhanced conformational sampling methods with a non-Ewald electrostatic scheme.

Authors:  Kota Kasahara; Benson Ma; Kota Goto; Bhaskar Dasgupta; Junichi Higo; Ikuo Fukuda; Tadaaki Mashimo; Yutaka Akiyama; Haruki Nakamura
Journal:  Biophys Physicobiol       Date:  2016-09-07

Review 7.  Review of Electrostatic Force Calculation Methods and Their Acceleration in Molecular Dynamics Packages Using Graphics Processors.

Authors:  Anu George; Sandip Mondal; Madhura Purnaprajna; Prashanth Athri
Journal:  ACS Omega       Date:  2022-09-08

8.  G-Protein/β-Arrestin-Linked Fluctuating Network of G-Protein-Coupled Receptors for Predicting Drug Efficacy and Bias Using Short-Term Molecular Dynamics Simulation.

Authors:  Osamu Ichikawa; Kazushi Fujimoto; Atsushi Yamada; Susumu Okazaki; Kazuto Yamazaki
Journal:  PLoS One       Date:  2016-05-17       Impact factor: 3.240

9.  Features of interactions responsible for antifungal activity against resistant type cytochrome bc1: A data-driven analysis based on the binding free energy at the atomic level.

Authors:  Akihiko Arakawa; Yukako Kasai; Kazuto Yamazaki; Fukumatsu Iwahashi
Journal:  PLoS One       Date:  2018-11-19       Impact factor: 3.240

  9 in total

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