Multi-Dimensional Self-Organizing Maps on Massively Parallel Hardware

نویسندگان

  • Udo Seiffert
  • Bernd Michaelis
چکیده

Although available (sequential) computer hardware is very powerful nowadays, the implementation of artificial neural networks on massively parallel hardware is still undoubtedly of high interest, not only under an academic point of view. This paper presents an implementation of multi-dimensional Self-Organizing Maps on a scalable SIMD structure of a CNAPS computer with up to 512 parallel processors.

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تاریخ انتشار 2001