Efficient simulation of QC LDPC decoding on GPU platform by CUDA

An efficient parallel simulation scheme of quasi-cyclic (QC) low-density parity-check (LDPC) decoding is proposed to improve the simulation efficiency greatly. It employs multi-threads with the multi-processors of a graphic processing unit (GPU) to perform the simulation of LDPC decoding in parallel. Other than full hardware based LDPC decoding, it obtains good features of low cost, easy programming complexity by using the compute unified device architecture (CUDA) techniques. The CUDA also provides parallel computing by the GPU with efficient multi-thread computation and very high memory bandwidth. Based on the proposed scheme, all bit nodes or check nodes can be updated in an LDPC decoding iteration simultaneously. Therefore, it provides an efficient and fast approach of QC LDPC decoding.