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基于国产处理器架构的高能物理数据处理系统

Data processing system for HEP based on domestic processor architecture
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摘要 随着规模的不断扩大,高能物理实验产生了越来越多的科学数据,迫切需要先进的数据处理系统来支撑科学研究。目前,以ARM架构等为代表的国产处理器发展迅速,高能物理数据处理系统面临着新的机遇与挑战。首先总结了高能物理数据处理系统的需求及体系架构;然后描述了在国产处理器上开展的高能物理数据处理软件移植等相关工作,并提出了一种新的面向高能物理数据处理的可计算存储技术方案;最后给出了在国产处理器架构上的典型应用评测结果。 More and more scientific data are produced by fast-developing high energy physics(HEP)experiments,which urgently require advanced data processing system to support scientific research.At present,HEP data processing system is facing new opportunities and challenges with the rapid development of domestic CPU such as ARM architecture.Firstly,a brief introduction to the requirements and architecture of HEP data processing system was given.Then the relevant work such as porting software to domestic CPU architecture was described.Additionally,a cutting-edge computational storage technology for HEP data processing was proposed.Finally,the evaluation results of typical HEP applications on domestic CPU architecture were given as well.
作者 程耀东 程垚松 毕玉江 高宇 李海波 汪璐 姚秋玲 CHENG Yaodong;CHENG Yaosong;BI Yujiang;GAO Yu;LI Haibo;WANG Lu;YAO Qiuling(Institute of High Energy Physics,Chinese Academy of Sciences,Beijing 100049,China;University of Chinese Academy of Sciences,Beijing 100049,China;TIANFU Cosmic Ray Research Center,Chengdu 610213,China)
出处 《大数据》 2021年第5期17-30,共14页 Big Data Research
基金 国家重点研发计划资助项目(No.2017YFB0203200) 国家自然科学基金资助项目(No.12075268,No.11575223) 中国科学院高能物理研究所科技创新项目(No.E15451U2)。
关键词 国产处理器 高能物理 数据处理 可计算存储 domestic CPU high energy physics data processing computational storage
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