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基于国产异构加速平台的E+A星系搜索:并行化策略与实现

郑爱宇 孟祥宇 张博宇 周立婵 杨海峰

数据与计算发展前沿2025,Vol.7Issue(5):102-112,11.
数据与计算发展前沿2025,Vol.7Issue(5):102-112,11.DOI:10.11871/jfdc.issn.2096-742X.2025.05.008

基于国产异构加速平台的E+A星系搜索:并行化策略与实现

E+A Galaxy Search Based on a Domestic Heterogeneous Acceleration Platform:Parallelization Strategy and Implementation

郑爱宇 1孟祥宇 1张博宇 1周立婵 1杨海峰1

作者信息

  • 1. 太原科技大学,山西 太原 030024
  • 折叠

摘要

Abstract

[Objective]E+A galaxies are rare,short-lived post-starburst galaxies whose observational sam-ples hold critical value for understanding galactic evolution and cosmic history.While modern sky surveys have amassed vast astronomical datasets,efficiently detecting these transient ob-jects remains a key challenge in contemporary astrophysical research.[Methods]This study proposes PEAS(Parallel E+A Searcher),a novel pipeline for accelerated E+A galaxy detection implemented on a domestic heterogeneous computing platform.Our methodology involves three phases.First,we analyze dependencies in the serial search algorithm to decompose it into three parallelizable task operators.Second,leveraging the software stack of the target platform,we design a hierarchical distributed architecture for PEAS.Finally,we implement two parallelization schemes:a multi-core task-parallel approach using OpenMP and a multi-node data-parallel strategy using MPI.[Results]Validation on the LAMOST DR2 dataset confirms PEAS's accuracy.Performance benchmarks conducted on 260,000 galaxies from LAMOST DR10 demonstrate significant speedups.The results indicate that,compared to a single-core CPU,PEAS achieves a speedup of 22.30 on a 32-core system and of up to 107.06 on a single accelerator card.In terms of performance scalability,4 acceleration cards achieve a speedup 1.89 compared to 1 acceleration card,while 4 nodes achieve 1.83 speedup compared to 1 node.In terms of data scalability,the speedup is 6.93,approaching the data ratio of 8.6.

关键词

国产异构加速平台/并行计算/E+A星系/稀有天文目标搜寻

Key words

domestic heterogeneous acceleration platform/Parallel computing/E+A galaxy/rare astronomical target search

引用本文复制引用

郑爱宇,孟祥宇,张博宇,周立婵,杨海峰..基于国产异构加速平台的E+A星系搜索:并行化策略与实现[J].数据与计算发展前沿,2025,7(5):102-112,11.

基金项目

山西省科技合作与交流项目(202204041101037,2022040411101033) (202204041101037,2022040411101033)

光合基金(ghfund202302032024,ghfund202407027490) (ghfund202302032024,ghfund202407027490)

数据与计算发展前沿

2096-742X

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