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一种多核高速数据无损压缩方案及FPGA实现 被引量:1

Multi-core Lossless Compression System for High-speed Data and Its FPGA Implementation
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摘要 针对航空遥感图像传输和雷达数据存储等领域,对数据质量和实时性要求较高的特点,为提高传输实时性能,提出了一种多核高速数据无损压缩的解决方案,采用改进的LZW算法,压缩速度是LZW算法的10倍以上。采用Spartan6系列LX150T FPGA为硬件平台,完成了16个编码器压缩系统的设计。实验表明,单个FPGA压缩模块,当系统时钟频率为100MHz时,带宽为1.1Gbps左右,设计了包含5片FPGA压缩模块的系统方案,为高速数据传输提供了参考。 In the fields of aviation remote sensing image transmission and radar data storage, the requirements of data quality and real - time performance are critical. A multi - core lossless compression system solution for high - speed data was introduced in this paper. This solution used the improved LZW algorithm which is as more than ten times fast as the LZW algorithm. This thesis used Xilinx's Spartan6 LX150T FPGA as the hardware platform and completed the compression system which has sixteen encoders. Experiments show that the bandwidth of the single FP- GA compress module is about 1.1Gbps when the frequency of system clock is 100MHz. This article put forward the design proposal of compress system containing five FPGAs which has the bandwidth of 4Gbps.
出处 《计算机仿真》 CSCD 北大核心 2013年第10期245-248,313,共5页 Computer Simulation
基金 国家自然科学基金(60972022) 国家自然科学基金(61172125) 国家自然科学基金(61132007)
关键词 无损压缩 高速 算法 硬件 多编码器 Lossless compression High - speed Algorithm Hardware Multi - encoder
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  • 1殷顺昌,赵克佳.一种基于POMP的OpenMP程序负载均衡分析方法[J].计算机工程与应用,2006,42(35):84-87. 被引量:3
  • 2Das S R, Fujimoto R, Panesar K S, et al. GTW: A time warp system for shared memory multiprocessors[C]//Proceedings of the Winter Simulation Conference. Lake Buena Vista, USA: IEEE Press, 1994: 1332-1339.
  • 3Chen J, Annavaram M, Du bois M. SlackSim: A platform for parallel simulations of CMPs on CMPs[J]. ACM SIGARCH Computer Architecture News, 2009, 37(2): 20-29.
  • 4Miller J E, Kasture H, Kurian G, et al. Graphite: A distributed parallel simulator for multieores[C]//Proceedings of the 16th IEEE International Symposium on High-Performance Computer Architecture. Bangalore, India: IEEE Press, 2010: 1-12.
  • 5DOU Yong, LEI Yuanwu, WU Guiming, et al. FPGA accelerating double quad-double high precision floating-point applications for exscale computing[C]//Proceedings of the 24th IEEE International Conference on Supercomputing. Tsukuba, Japan: IEEE Press, 2010: 325-336.
  • 6Greg S, Richard B, YANG Xiaoyun. Multicore image processing with OpenMP[J]. IEEE Signal Processing Magazine, 2010, 27(2) 134-138.
  • 7Bhattacharjee A, Contreras G, Martonosi M. Parallelization libraries: Characterizing and reducing overheads[J]. ACM Trans on Architecture and Code Optimization, 2011, 8(1): 5-29.
  • 8Schmidl D, Terbovan C, Mey D, et al. Binging Neste OpenMP programs on hierarchical memory architectures[R]. Tsukuba, Japan: Center for Computing and Communication of RWTH Aachen University, 2010: 5-8.
  • 9Akhter S,Roberts J.多核程序设计:通过软件多线程提升性能[M].李宝峰,富弘毅,李韬,译.北京:电子工业出版社,2007:167-170.
  • 10Hill M D, Marty M R. Amdahrs law in the multicore Era. Univ. of Wisconsin computer sciences technical report CS-TR-1593[EB/OL]. [2007-04-21]. http://www.cs.wise.edu/ multifacet/papers/tr1593_amdahl- multicore.pdf.

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