Parallel versus sequential updating for Belief Propagation decoding
Statistical Mechanics
2015-06-24 v1
Abstract
sequential updating scheme (SUS) for the belief propagation algorithm is proposed, and is compared with the parallel (regular) updating scheme (PUS). Simulation results on various codes indicate that the number of iterations of the belief algorithm for the SUS is about one half of the required iterations for the PUS, where both decoding algorithms have the same error correction properties. The complexity per iteration for both schemes is similar, resulting in a lower total complexity for the SUS. The explanation of this effect is related to the inter-iteration information sharing, which is a property of only the SUS, and which increases the "correction gain" per iteration
Cite
@article{arxiv.cond-mat/0207185,
title = {Parallel versus sequential updating for Belief Propagation decoding},
author = {H. Kfir and I. Kanter},
journal= {arXiv preprint arXiv:cond-mat/0207185},
year = {2015}
}
Comments
15 pages, 3 figures, submitted to Phys. Rev. E june 2002