| 基于Mark5B＋GPU脉冲星观测系统 |
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| 引用本文： | 李佳功,徐永华,李志玄,汪敏,季凯帆.基于Mark5B＋GPU脉冲星观测系统[J].天文研究与技术,2014(4):335-342. |
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| 作者姓名： | 李佳功 徐永华 李志玄 汪敏 季凯帆 |
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| 作者单位： | 昆明理工大学云南省计算机应用重点实验室;中国科学院云南天文台; |
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| 基金项目： | 中科院科研装备研制项目“宽带数字化脉冲星观测系统”;国家自然科学基金(11263004、11303093、11103080、11103079、11303094)资助 |
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| 摘 要： | 云南天文台40m射电望远镜进行的脉冲星观测数据量巨大,必须实现数据的实时处理,否则将会产生海量的数据积压.为实现这一目标,采用图形处理器架构,对Mark5B数据进行解码、消色散、折叠等处理.实验结果表明,对以1s8MB的实时采样,可以在0.51s内处理完成,从而实现了实时处理的要求.首先介绍这一观测系统各部分的图形处理器实现,然后相对于传统中央处理器构架,对各部分的运算速度进行了详细的对比.针对时间开销最大的消色散部分,分析了单次傅里叶变换的数据量大小对执行效率的影响.从系统最终的输出轮廓和柱状图上可以看到实时处理的结果符合要求.最后对存在的问题和未来的工作进行了讨论.
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| 关 键 词： | 脉冲星 40m射电望远镜 GPU 相干消色散 CUDA |
An Observation System for Pulsars Based on a GPU Architecture and a Mark5B |
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| Institution: | Li Jiagong , Xu Yonghua, Li Zhixuan , Wang Min , Ji Kaifan ( 1. Key Laboratory of Applications of Computer Technologies of the Yunnan Province, University of Science and Technology of Kunming, Kunming 650500, China ; 2. Yunnan Observatories, Chinese Academy of Sciences, Kunming 650011, China) |
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| Abstract: | Massive pulsar data are being generated through the 40m radio telescope of the Yunnan Observatories. A huge amount of data obtained by the telescope will stay unused if they are not processed in real time. To realize the needed real-time processing we have established a system of a GPU architecture to process data recorded by a MarkSB. The processing includes decoding, coherent removal of dispersion, and data-folding. Our test results show that data obtained in 1 second can be processed within 0. 51 second, which meets the requirements of real-time processing. In the paper we first introduce the implementation of each part of the observation system using the GPU architecture. We then compare the speed of each part of the system to that within a traditional CPU architecture. We particularly present the analysis of how the execution efficiency of a single Fourier-transform operation in the removal of dispersion is affected by the amount of data involved, as such operations are the most time consuming in the processing. Result profiles of tests with the system also show that our system meets the requirements of real-time processing. We finally discuss problems of the current system and future studies. |
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| Keywords: | Pulsar 40m radio telescope GPU Coherent removal of dispersion CUDA |
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