高性能计算与天文大数据研究综述

数据是天文学发展的重要驱动。分布式存储和高性能计算(High Performance Computing,HPC)为应对海量天文数据的复杂性、不规则的存储和计算起到推动作用。天文学研究中多信息和多学科交叉融合成为必然,天文大数据已进入大规模计算时代。高性能计算为天文大数据处理和分析提供了新的手段,针对一些传统手段无法解决的问题给出了新的方案。文中根据天文数据分类和特征,以高性能计算为支撑,对天文大数据的数据融合、高效存取、分析及后续处理、可视化等问题进行了研究,总结了现阶段的技术特点,提出了处理天文大数据的研究策略和技术方法,并对天文大数据处理面对的问题和发展趋势进行了探讨。

High Performance Computing and Astronomical Data:A Survey

Data is an important driver of astronomical development.Distributed storage and High Performance Computing(HPC)have an positive effect on the complexity,irregular storage and calculation of massive astronomical data.The multi-information and multi-disciplinary integration of astronomical research has become inevitable,and astronomical big data has entered the era of large-scale computing.HPC provides a new means for astronomical big data processing and analysis,and presents new solutions to problems that cannot be solved by traditional methods.Based on the classification and characteristics of astronomical data,and supported by HPC,this paper studied the data fusion,efficient access,analysis and subsequent processing,visualization of astronomical big data,and summarized the current situation.Furthermore,this paper summarized the technical characteristics of the current stage,put forward the research strategies and technical methods for dealing with astronomical big data,and discussed the problems and development trends of the processing of astronomical big data.