论文标题
OpenDust：用于计算力的快速加速代码，作用于等离子流中的微粒
OpenDust: A fast GPU-accelerated code for calculation forces, acting on microparticles in a plasma flow
论文作者
论文摘要
我们介绍了第一个用于复杂等离子体的开源，基于GPU的代码。 OpenDust代码旨在为研究人员提供实验者和理论家的用户友好且高性能的工具，用于自一致的计算力，作用于微粒，以及在等离子体流中的微粒的费用。 OpenDust性能源自高度优化的CUDA后端，并允许在几秒钟内对微粒周围的血浆流进行自洽的计算。该代码的表现优于所有可用的代码，用于自洽复合等离子体模拟。此外，Opendust也可以用于模拟较大的尘埃微粒系统，这是以前无法使用的。 OpenDust界面用Python编写，该接口提供了Conda存储库的易用和简单安装。
We present the first open-source, GPU-based code for complex plasmas. The code, OpenDust, aims to provide researchers both experimenters and theorists user-friendly and high-performance tool for self-consistent calculation forces, acting on microparticles, and microparticles' charges in a plasma flow. OpenDust performance originates from highly-optimized Cuda back-end and allows to perform self-consistent calculation of plasma flow around microparticles in seconds. This code outperforms all available codes for self-consistent complex plasma simulation. Moreover, OpenDust can also be used for simulation of larger systems of dust microparticles, that was unavailable before. OpenDust interface is written in Python, which provides ease-of-use and simple installation from Conda repository.
