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基于GPU的LDPC存储优化并行译码结构设计

葛帅 刘荣科 侯毅

葛帅, 刘荣科, 侯毅等 . 基于GPU的LDPC存储优化并行译码结构设计[J]. 北京航空航天大学学报, 2013, 39(3): 421-426.
引用本文: 葛帅, 刘荣科, 侯毅等 . 基于GPU的LDPC存储优化并行译码结构设计[J]. 北京航空航天大学学报, 2013, 39(3): 421-426.
Ge Shuai, Liu Rongke, Hou Yiet al. Memory optimized parallel LDPC decoder architecture design on GPU[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(3): 421-426. (in Chinese)
Citation: Ge Shuai, Liu Rongke, Hou Yiet al. Memory optimized parallel LDPC decoder architecture design on GPU[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(3): 421-426. (in Chinese)

基于GPU的LDPC存储优化并行译码结构设计

基金项目: 航空电子系统综合技术重点实验室和航空科学基金联合资助项目(20115551022)
详细信息
    作者简介:

    葛帅(1988-),男,黑龙江哈尔滨人,硕士生,gysn.erwrew@gmail.com.

  • 中图分类号: TN911.2

Memory optimized parallel LDPC decoder architecture design on GPU

  • 摘要: 提出了一种基于Nvidia公司Fermi架构图形处理单元(GPU,Graphic Processing Unit)的分层低密度奇偶校验LDPC(Low-Density Parity-Check)码译码算法的译码器结构优化设计.利用GPU架构的并行性特点,采用帧间与层内双重并行的处理方式,充分利用流多处理器硬件资源,有效缓解了分层译码算法并行度受限的问题.此外,通过采取片上constant memory存储器压缩存储校验矩阵以及利用片外global memory存储器对译码迭代信息进行联合访问的优化方法,有效降低了访存延迟,提高了译码吞吐率.测试结果表明,通过采用多帧并行处理和存储器访问优化可以提升基于GPU的LDPC译码器吞吐率14.9~34.8倍.

     

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出版历程
  • 收稿日期:  2012-04-18
  • 网络出版日期:  2013-03-31

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