PyGAMD: Python graphics processing unit-accelerated molecular dynamics software

Jialei Xu, Shenghong Guo, Miaolan Zhen, Zhuochen Yu, Youliang Zhu, Giuseppe Milano, Zhongyuan Lu
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Abstract

PyGAMD (Python GPU-accelerated molecular dynamics software) is a molecular simulation platform developed from scratch. It is designed for soft matter, especially for polymer by integrating coarse-grained/multi-scale models, methods, and force fields. It essentially includes an interpreter of molecular dynamics (MD) which supports secondary programming so that users can write their own functions by themselves, such as analytical potential forms for nonbonded, bond, angle, and dihedral interactions in an easy way, greatly extending the flexibility of MD simulations. The interpreter is written by pure Python language, making it easy to be modified and further developed. Some built-in libraries written by other languages that have been compiled for Python are added into PyGAMD to extend it's features, including configuration initialization, property analysis, etc. Machine learning force fields that are trained by DeePMD-kit are supported by PyGAMD for conveniently implementing multi-scale modeling and simulations. By designing an advanced framework of software, graphics processing unit-acceleration achieved by the Numba library of Python and compute unified device architecture reaches a high computing efficiency.

Abstract Image

Python图形处理单元-加速分子动力学软件
PyGAMD (Python gpu加速分子动力学软件)是一个从零开始开发的分子模拟平台。它是专为软物质,特别是聚合物通过集成粗粒度/多尺度模型,方法和力场。它本质上包括一个分子动力学(MD)的解释器,它支持二次编程,这样用户就可以自己编写自己的函数,如非键、键、角和二面体相互作用的分析势能形式,以一种简单的方式,极大地扩展了MD模拟的灵活性。解释器由纯Python语言编写,易于修改和进一步开发。一些由其他语言编写的为Python编译的内置库被添加到PyGAMD中,以扩展其功能,包括配置初始化,属性分析等。PyGAMD支持DeePMD-kit训练的机器学习力场,方便地实现多尺度建模和仿真。通过设计先进的软件框架,利用Python的Numba库和计算统一设备架构实现图形处理单元加速,达到较高的计算效率。
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