Efficient Min-Max nonbinary LDPC decoding on GPU

This paper presents an novel modified Min-Max algorithm (MMMA) and an efficient implementation of an nonbinary LDPC (NB-LDPC) decoder on a graphics processing unit (GPU) to achieve both great flexibility and scalability. The MMMA for check node processing removes the multiplications over Galois-field in merger step and significantly reduces the decoding latency. The proposed MMMA provides a better BER performance than previous algorithm. The experimental results show that the GPU-based implementation of the proposed NB-LDPC decoder provides higher throughput and the coding gain under low 10^-8 BER comparted to CPU-based implementation.