Models and Methods of Organization of Parallel Computing Systems and Distributed Data Processing on the Basis of the Neuroprocessor

This article offers solutions for the organization of parallel computing systems and distributed data processing on the basis of the neu roprocessor using set-theoretic approach, comprising the following stages: development of the methodological foundations of the breaking of neurosecretory on many routines, develo pment of methodological foundations of the study of links between routines, classification and selection neuroprocessor structures. Shown developed software tools for the organization of complex systems on the basis of the neuroprocessor. The reported study was funded by RFBR according to the research project №14-07-00261 а.