面向GPU的5G新型无线电的高吞吐率LDPC译码器
2024,46(1):141-148
李荣春
国防科技大学 计算机学院, 湖南 长沙 410073;
国防科技大学 并行与分布计算全国重点实验室, 湖南 长沙 410073，rongchunli@nudt.edu.cn
周鑫
国防科技大学 计算机学院, 湖南 长沙 410073;
国防科技大学 并行与分布计算全国重点实验室, 湖南 长沙 410073
乔鹏
国防科技大学 计算机学院, 湖南 长沙 410073;
国防科技大学 并行与分布计算全国重点实验室, 湖南 长沙 410073
王庆林
国防科技大学 计算机学院, 湖南 长沙 410073;
国防科技大学 并行与分布计算全国重点实验室, 湖南 长沙 410073
国防科技大学 计算机学院, 湖南 长沙 410073;
国防科技大学 并行与分布计算全国重点实验室, 湖南 长沙 410073，rongchunli@nudt.edu.cn
周鑫
国防科技大学 计算机学院, 湖南 长沙 410073;
国防科技大学 并行与分布计算全国重点实验室, 湖南 长沙 410073
乔鹏
国防科技大学 计算机学院, 湖南 长沙 410073;
国防科技大学 并行与分布计算全国重点实验室, 湖南 长沙 410073
王庆林
国防科技大学 计算机学院, 湖南 长沙 410073;
国防科技大学 并行与分布计算全国重点实验室, 湖南 长沙 410073
摘要：
提出了一种基于图形处理单元(graphic processing unit,GPU)的5G软件无线电准循环低密度奇偶校验(low density parity check, LDPC)码译码器,为了节省片上和片下带宽,采用码字缩短和打孔技术、两级量化和数据打包方案,以提升数据带宽的利用率。实验基于Nvidia RTX 2080Ti GPU平台实现了高码率情况下的最小和近似译码算法的并行译码,通过分析GPU上的最优线程设置,将码率为5/6的(2 080,1 760) LDPC算法的译码吞吐率提升至1.38 Gbit/s,译码吞吐率性能优于现有其他基于GPU的LDPC译码器。
提出了一种基于图形处理单元(graphic processing unit,GPU)的5G软件无线电准循环低密度奇偶校验(low density parity check, LDPC)码译码器,为了节省片上和片下带宽,采用码字缩短和打孔技术、两级量化和数据打包方案,以提升数据带宽的利用率。实验基于Nvidia RTX 2080Ti GPU平台实现了高码率情况下的最小和近似译码算法的并行译码,通过分析GPU上的最优线程设置,将码率为5/6的(2 080,1 760) LDPC算法的译码吞吐率提升至1.38 Gbit/s,译码吞吐率性能优于现有其他基于GPU的LDPC译码器。
基金项目：
国家自然科学基金资助项目
国家自然科学基金资助项目
High-throughput LDPC decoder on GPU for 5G new radio
LI Rongchun
College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China;
National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China,rongchunli@nudt.edu.cn
ZHOU Xin
College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China;
National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China
QIAO Peng
College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China;
National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China
WANG Qinglin
College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China;
National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China
College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China;
National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China,rongchunli@nudt.edu.cn
ZHOU Xin
College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China;
National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China
QIAO Peng
College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China;
National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China
WANG Qinglin
College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China;
National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China
Abstract：
A GPU(graphic processing unit) based 5G software radio quasi cyclic LDPC (low-density parity check) code decoder was proposed. In order to save on chip and off chip bandwidth, code word shortening and punching techniques, two-stage quantization, and data packaging schemes were adopted to improve the utilization of data bandwidth. The experiment was based on the Nvidia RTX 2080Ti GPU platform to achieve parallel decoding of minimum and approximate decoding algorithms under high bit rates. By analyzing the optimal thread settings on the GPU, the decoding throughput of the 5/6 (2 080,1 760) LDPC algorithm is improved to 1.38 Gbit/s, and the decoding throughput performance is better than other GPU based LDPC decoders.
A GPU(graphic processing unit) based 5G software radio quasi cyclic LDPC (low-density parity check) code decoder was proposed. In order to save on chip and off chip bandwidth, code word shortening and punching techniques, two-stage quantization, and data packaging schemes were adopted to improve the utilization of data bandwidth. The experiment was based on the Nvidia RTX 2080Ti GPU platform to achieve parallel decoding of minimum and approximate decoding algorithms under high bit rates. By analyzing the optimal thread settings on the GPU, the decoding throughput of the 5/6 (2 080,1 760) LDPC algorithm is improved to 1.38 Gbit/s, and the decoding throughput performance is better than other GPU based LDPC decoders.
收稿日期：
2022-04-29
2022-04-29
