Convergence-Optimized Variable Node Structure for Stochastic LDPC Decoder


By using stochastic computation, a fully-parallel low-density parity-check (LDPC) decoder can be implemented using a lower wire complexity. In order to enhance the decoder performance, probability tracers, such as up/down counters, are added at each edge between variable nodes and check nodes, as described in previous literature. However, this causes a large decoding latency and a high number of decoding failures. In this paper, a convergence-optimized structure for variable nodes is proposed that is able to overcome these issues. As a result, the throughput for the proposed decoder is 20.5Gb/s, which is 101% higher than the original counter-based decoder presented in the previous literature.

In IEEE International Conference on Acoustics, Speech and Signal Processing
Di Wu
Di Wu
PhD student

A Wisconsin Badger in Computer Architecture!