基于OpenCL的LLR BP解码仿真多核灵活并行实现

Igor Volkov, A. Kharin, Aleksei Dryakhlov, Evgeny Mirokhin, Konstantin Terekhov, K. Zavertkin, A. Ovinnikov, E. Likhobabin, V. Vityazev
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引用次数: 5

摘要

本文利用OpenCL技术在图形处理单元(gpu)上进行并行计算,研究了LDPC码解码仿真中对数似然比(LLR)信念传播(BP)算法的加速问题。提出的LLR BP算法并行实现包括所有解码步骤的并行版本:解码器初始化、检查和变量节点更新、后验LLR计算和解码终止检查。通过LDPC编码DVB-T2/S2(64800, 32400)和PEG(1008, 504)码模拟数据传输系统,测量解码器吞吐量。
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Flexible parallel implementation of LLR BP decoding simulation on multicores using OpenCL
In this paper we explore acceleration of the logarithmic likelihood ratio (LLR) belief propagation (BP) algorithm for LDPC codes decoding simulation, using parallel computation on graphics processing units (GPUs) with OpenCL technology. The proposed parallel implementation of the LLR BP algorithm includes parallel version of all decoding steps: decoder initialization, check and variable nodes update, a posteriori LLR calculation and decoding termination check. Decoder throughput was measured by simulating data transmission system with LDPC coding for DVB-T2/S2 (64800, 32400) and PEG (1008, 504) codes.
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