伊辛模型
蒙特卡罗方法
统计物理学
星团(航天器)
数学
旋转玻璃
而量子蒙特卡罗
铁磁性
统计物理中的蒙特卡罗方法
混合蒙特卡罗
计算机科学
物理
马尔科夫蒙特卡洛
量子力学
统计
程序设计语言
作者
Kseniia Makarova,Aleksandr Makarov,Vladislav Strongin,Iuliia Titovets,Yuriy Shevchenko,Vitalii Kapitan,Alexey Rybin,Dmitrii Kapitan,Alena Korol,Egor Vasiliev,P. A. Ovchinnikov,Konstantin Soldatov,Viacheslav Trukhin,Konstantin Nefedev
标识
DOI:10.1016/j.cam.2023.115153
摘要
We present a new Canonical Multispin-flip Cluster Monte Carlo algorithm for Ising model and describe efficient implementations for hybrid supercomputer. Our method takes advantage of the computing architecture for parallel and multi-threaded operations and uses a sequential cluster state update scheme. Due to the peculiarity of the implementation, the method is more effective for models with a restricted radius of interaction. It is based on combining a random selection of spin cluster by the Monte Carlo method with a complete enumeration of the all states of the selected cluster. To show how it works we applied our method to models of interacting magnetic Ising-moments: ferromagnetic Ising model, the Edwards–Anderson spin glass model, dipolar spin ice on hexagonal and pentagonal Cairo lattices.
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