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Research and Test of Real-time Search Algorithm of Fast Radio Bursts Based on GPU Acceleration

机译:基于GPU加速度的快速无线电突发实时搜索算法的研究与测试

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摘要

In order to satisfy the research need of Nanshan 25 m radio telescope of Xinjiang Astronomical Observatory (XAO) and study the key technology of the planned QiTai radio Telescope (QTT), on the basis of the original CPU(Central Processing Unit)-based real-time search algorithm of FRBs (Fast Radio Bursts), we have studied the GPU(Graphics Processing Unit)-based realtime search algorithm of FRBs, and built the corresponding real-time search system of FRBs. We have made the comparison and analysis on the GPU system and CPU system, the test result shows that under a given searching accuracy, the speed of the GPU-accelerated algorithm is improved by 35–45 times compared with that of the CPU algorithm.
机译:为了满足新疆天文天文学(XAO)南山25米射频望远镜的研究需求,并在原始的CPU(中央处理单元)的基础上,研究了计划的QITAI射频望远镜(QTT)的关键技术 - 基于真实的 -time搜索FRB(快速无线电突发)的算法,我们研究了FRB的GPU(图形处理单元)的实时搜索算法,并建立了FRB的相应实时搜索系统。 我们已经对GPU系统和CPU系统进行了比较和分析,测试结果表明,根据给定的搜索精度,GPU加速算法的速度与CPU算法相比提高了35-45次。

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