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In this paper, the author presents an optimised parallel implementation of a flexible maximum a‐posteriori decoder for synchronisation error correcting codes, supporting a very wide range of code sizes and channel conditions. On mid‐range GPUs the author demonstrates decoding speedups of more than two orders of magnitude over a central processing unit implementation of the same optimised algorithm, and more than an order of magnitude over the author's earlier GPU implementation. The prominent challenge is to maintain high parallelisation efficiency over a wide range of code sizes and channel conditions, and different execution hardware. The author ensures this with a dynamic strategy for choosing parallel execution parameters at run‐time. They also present a variant that trades off some decoding speed for significantly reduced memory requirement, with no loss to the decoder's error correction performance. The increased throughput of their implementation and its ability to work with less memory allow us to analyse larger codes and poorer channel conditions, and makes practical use of such codes more feasible.

Graphics processing unit implementation and optimisation of a flexible maximum a‐posteriori decoder for synchronisation correction