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Application of Parallel Computing on Large Scale Atmospheric Nucleation

机译:在大规模大气成核上的应用并行计算

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During the process of atmospheric nucleation, harmful substances may be generated, thus, it is with significant to conduct research on the process. In our previous work, some tools for visualization have already been developed. However, while the data set becomes larger, the computing time also increases accordingly. To make things worse, sometimes the visualization tool may become unstable due to some limitations, especially while calculating the similarity between molecules. In this paper, we will first propose an algorithm for calculating the similarity between two molecules. Then, in order to accelerate the parsing of data, the proposed algorithm will be implemented with parallel methods, and experimental results will show the improvement of the computing speed.
机译:在大气成核的过程中,可能产生有害物质,因此,对该方法进行研究具有重要意义。 在我们以前的工作中,已经开发出一些可视化的工具。 然而,虽然数据集变大,但计算时间也相应地增加。 为了使事物更差,有时,由于一些限制,可视化工具可能变得不稳定,特别是在计算分子之间的相似性时。 在本文中,我们首先提出一种用于计算两个分子之间的相似性的算法。 然后,为了加速数据解析,所提出的算法将以并行方法实现,实验结果将显示计算速度的提高。

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