A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks

28 Mar 2015Giacomo ParigiAngelo StramieriDanilo PauMarco Piastra

Among the many possible approaches for the parallelization of self-organizing networks, and in particular of growing self-organizing networks, perhaps the most common one is producing an optimized, parallel implementation of the standard sequential algorithms reported in the literature. In this paper we explore an alternative approach, based on a new algorithm variant specifically designed to match the features of the large-scale, fine-grained parallelism of GPUs, in which multiple input signals are processed at once... (read more)

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