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基于GPU集群的空间VLBI射电源条纹搜索研究

段学铭 童力 郑为民 张娟

天文学进展2024,Vol.42Issue(3):494-505,12.
天文学进展2024,Vol.42Issue(3):494-505,12.DOI:10.3969/j.issn.1000-8349.2024.03.06

基于GPU集群的空间VLBI射电源条纹搜索研究

Research on Space VLBI Radio Source Fringe Search Based on GPU Cluster

段学铭 1童力 2郑为民 3张娟3

作者信息

  • 1. 中国科学院上海天文台,上海 200030||中国科学院大学,北京 100049
  • 2. 中国科学院上海天文台,上海 200030||中国科学院射电天文重点实验室,北京 100101||上海市空间导航与定位技术重点实验室,上海 200030
  • 3. 中国科学院上海天文台,上海 200030||中国科学院射电天文重点实验室,北京 100101||国家基础学科公共科学数据中心,北京 100190||上海市空间导航与定位技术重点实验室,上海 200030
  • 折叠

摘要

Abstract

The fourth phase of the Lunar Exploration Project will launch the Chang'e-7 relay satellite,carrying a 4.2-meter parabolic telescope.Together with ground-based radio telescope,it will form the first Lunar Orbit Space VLBI system.Space VLBI is influenced by the relay satellite's orbit perturbations and onboard equipment delays,and the predicted time delay model for radio source may not effectively guide the normal operation of the correlator.It is necessary to employ a fringe search based on actual measurement signals to find a high-precision time delay model that meets the requirements.Currently,fringe searches are accelerated using CPU cluster,but the search time is prolonged,lasting up to 2700s,which fails to meet the practical engineering requirements.A space VLBI radio source fringe search algorithm based on GPU cluster is proposed.The research involves studying task distribution for load balancing on GPU cluster and parallel implementation of corre-lation modules and residual value search modules.Validated with RadioAstron observation data,the processing speed of GPU cluster has improved about 27.0 times compared to CPU cluster.The research outcomes can be applied to subsequent space VLBI projects.

关键词

空间VLBI/条纹搜索/GPU集群/相关处理

Key words

space VLBI/fringe search/GPU cluster/correlation

分类

天文与地球科学

引用本文复制引用

段学铭,童力,郑为民,张娟..基于GPU集群的空间VLBI射电源条纹搜索研究[J].天文学进展,2024,42(3):494-505,12.

基金项目

国家自然科学基金(11973011) (11973011)

国家基础科学数据共享服务平台(U1931135) (U1931135)

天文学进展

OA北大核心CSTPCD

1000-8349

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