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北斗卫星信号仿真器的GPU速度优化

Speed optimization of Beidou satellite signal simulator based on GPU
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摘要 针对卫星信号软件仿真器耗时长的问题,提出基于图形处理器(GPU)的速度优化方法并介绍了现有卫星信号仿真器的特点。在分析仿真器结构的基础上给出了结构调整方案,介绍了不同GPU存储器的特点及优化方法。基于计算统一设备架构(CUDA)实现了北斗卫星信号仿真器的数据实时生成。对速度优化后的仿真器进行了速度测试和性能验证。介绍了仿真器程序优化过程,优化后的仿真器大大提高了信号生成速度和科研效率,对程序优化具有一定的借鉴意义。 The existing Beidou satellite signal software simulator is time -consuming, a method of program performanceoptimization based on GPU(graphic processing unit) is proposed. Introducing the features of existing satellitesignal simulator, the structure adjustment plan is given after analyzing the simulator structure. Characteristicsand optimization methods of different GPU memory is introduced and the real-tim e signal generator based on CUDA(compute unified device architecture) is realized. The performance and speed of optimized simulator aretested and verified with detailed optimizing process. The optimized simulator speeds up the signal generation andimproves the efficiency of science research. The current method has a certain referencial significance on programoptimization.
出处 《中国民航大学学报》 CAS 2016年第3期33-37,共5页 Journal of Civil Aviation University of China
基金 国家自然科学基金项目(61271404 61471363) 中央高校基本科研业务费专项(3122014D008)
关键词 仿真器 图形处理器 计算统一设备架构 simulator graphics processing unit unified compute device architecture
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  • 1北斗卫星导航系统网站.北斗卫星导航系统简介[EB/OL].[2014 -03 -09]. http://www, beidou, gov. cn/2013/11/04/ 201311044b202 flcdeb74dlc886c290eabfbddfg, html.
  • 2侯博,谢杰,范志良,刘光斌.多模卫星信号模拟器设计与实现[J].计算机测量与控制,2012,20(1):170-172. 被引量:12
  • 3NVIDIA.CUDAC Programming Guidv7.0[EB/0L]. (2015-03-05) [201508-30]. http ://www.signal-pro.org.cn/CN/column/column106.s html.
  • 4刘金硕,邓娟,周峥,等. 基于⑶ DA 的并行程序设计[M].北京:科学出版社,2014: 92-108.
  • 5MARK HARRIES. Optimizing Parallel Reduction in CUDA[EB/0L].(2015 -03 -05) [2015 -09 -02]. http://docs.nvidia.com/cuda/samples/6_Advanced/redu-ction/doc/reduction.pdf.
  • 6NVIDIA. CUDA RunTime API v7.0[EB/0L]. (2015-03-05)[2015-08-31]. http: //docs.nvidia.com/cuda/cuda-runtime-api/index.html.
  • 7NVIDIA.CUDACBestPracticeGuidev7.0[EB/0L]. (2015-03-05). [201509-02]. http : //docs.nvidia.com/cuda/cuda-c-best-practices-guide/.

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