To improve the decoding speed of low density parity check(LDPC)decoders,a parallel LDPC decoding scheme accelerated by graphics processing units(GPU)is proposed.This scheme is designed based on the log-likelihood ratio belief propagation(LLR-BP)decoding algorithm and adopts a higher parallelism edge-parallel de-coding approach for the parallelizable parts of algorithm to reduce decoding latency and enhance the thread utilization rate of GPUs.In addition,by optimizing the thread allocation strategy,the updated information of variable nodes is stored in shared memory with lower access costs,reducing the dependence on global memory during message transmission.The experimental results show that the decoding speed of the proposed scheme is 2.8 times and 1.2 times that of the traditional node-parallel and edge-parallel decoding schemes,which can meet the needs of high-speed communication systems.
万方数据
维普
