基于GPU的TPC译码技术研究

Research of TPC Decoding Technology Based on GPU

为实现TPC码的高速译码,本文研究了基于GPU平台的CHASE译码算法的实现结构及其优化策略。首先介绍了TPC码的CHASE译码算法,之后结合GPU的运算特点将该译码算法划分为若干不同的内核函数,并分别进行优化,最后对所提方法的性能进行了测试。实验结果表明,相对于传统的基于CPU的译码算法,本文所提算法可达到几百倍的加速,大于50Mbps等效译码速率以及和接近理论仿真的译码增益。

In order to realize the high-speed decoding of TPC code, the implementation structure of the CHASE de- coding algorithm on GPU platform with its optimizing strategy is proposed. The CHASE decoding algorithm for TPC code is introduced firstly. The algorithm implementation is then divided into several different kernels with regard to the GPU calculation features. The optimization is carried out for each kernel. Finally, the performance of the presented method is tested. The Experiment results demonstrate that the proposed method in this paper can achieve hundreds of times higher speed than conventional decoding algorithm based on CPU. The equivalent decoding rate is greater than 50Mbps.The decoding gain approximates the theoretical simulation.