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1. 中国科学院高能物理研究所,北京 100049
2. 中国科学院大学,北京 100049
3. 四川天府新区宇宙线研究中心,四川 成都 610213
Online First:2021-09,
Published:15 September 2021
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Yaodong CHENG, Yaosong CHENG, Yujiang BI, et al. Data processing system for HEP based on domestic processor architecture[J]. Big data research, 2021, 7(5): 2021046.
Yaodong CHENG, Yaosong CHENG, Yujiang BI, et al. Data processing system for HEP based on domestic processor architecture[J]. Big data research, 2021, 7(5): 2021046. DOI: 10.11959/j.issn.2096-0271.2021046.
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.
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