Enhancing efficient computation of long-wavelength relaxation dynamics in a 2D liquid involving millions of particles
Enhancing efficient computation of long-wavelength relaxation dynamics in a 2D liquid involving millions of particles
复制标题
增强涉及数百万个粒子的二维液体中长波长弛豫动力学的有效计算
DOI:
10.1088/1742-6596/2207/1/012026
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Shiba Hayato
中科院分区:
文献类型:
--
作者:
J. Hirata;N. Kurokawa;M. Okano;A. Hotta;S. Watanabe;柳澤実穂;Shiba Hayato
Recently, a two-dimensional liquid cooled toward the glass transition was found to exhibit a t− 1 long-time tail in the velocity autocorrelation function (VACF) owing to the presence of long-wavelength fluctuations. To directly observe this power-law behaviour, it is necessary to simulate a large system with millions of particles, which is a challenging task from the computational viewpoint. In this study, to address this difficulty, I first show that this power-law tail can be reproduced by differentiating the finite-time diffusivity with respect to time. In addition, the feasibility of another direction, a direct on-the-fly computation of the VACFs utilizing GPGPUs, wherein VACFs are evaluated as the simulation runs, is also demonstrated. A performance benchmark was executed on Wisteria/BDEC-01 (Aquarius subsystem) supercomputer using a simulation code developed by the author, which enabled the direct computation of the VACF of 4 million particlesx for as long as the 10 8 simulation steps within 10 days.