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基于GPU的非相干消色散算法
Alternative TitleIncoherent Dedispersion Algorithm Based on GPU
托乎提努尔1,3; 张海龙1,2,3; 王杰1,3; 冶鑫晨1,3
2021
Source Publication天文研究与技术
ISSN1672-7673
Volume18Issue:1Pages:60-68
Contribution Rank1
Abstract针对脉冲星信号实时消色散处理需求,实现了基于GPU的非相干消色散算法。采用高性能并行计算方法对非相干消色散算法的多线程处理进行了深入研究,提出了算法的并行化加速方案,解决了消色散算法计算量大无法实时处理问题。分析算法的密集型计算部分,高效利用GPU的层次存储结构,提高了GPU资源利用率,进而减少了计算时间,显著提升了非相干消色散算法的计算性能。
Other AbstractIn order to meet the requirements of real-time de-dispersion processing of pulsar signals, a GPU based incoherent de-dispersion algorithm is implemented. We use high-performance parallel computing methods to conduct in-depth research on the incoherent de-dispersion algorithm for multi-thread processing, and propose a parallel acceleration scheme for the algorithm, which solves the problem that the de-dispersion algorithm has a large amount of calculation and cannot be processed in real time. We analyze the intensive computing parts of the algorithm, efficiently use the hierarchical storage structure of the GPU, improve the utilization rate of GPU computing resources, thereby reducing the calculation time, and significantly improving the calculation performance of the incoherent de-dispersion algorithm.
Keyword消色散 GPU 并行计算 实时处理
DOI10.14005/j.cnki.issn1672-7673.20200515.002
Indexed ByCSCD
Language中文
WOS IDCSCD:6894147
CSCD IDCSCD:6894147
Citation statistics
Document Type期刊论文
Identifierhttp://ir.xao.ac.cn/handle/45760611-7/4686
Collection射电天文研究室_数字技术实验室
Corresponding Author张海龙
Affiliation1.中国科学院新疆天文台,新疆乌鲁木齐830011;
2.中国科学院射电天文重点实验室,江苏南京210008;
3.国家天文科学数据中心,北京100101
First Author AffilicationXinjiang Astronomical Observatory, Chinese Academy of Sciences
Corresponding Author AffilicationXinjiang Astronomical Observatory, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
托乎提努尔,张海龙,王杰,等. 基于GPU的非相干消色散算法[J]. 天文研究与技术,2021,18(1):60-68.
APA 托乎提努尔,张海龙,王杰,&冶鑫晨.(2021).基于GPU的非相干消色散算法.天文研究与技术,18(1),60-68.
MLA 托乎提努尔,et al."基于GPU的非相干消色散算法".天文研究与技术 18.1(2021):60-68.
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