ISBN: 978-981-09-5471-0 DOI: 10.18178/wcse.2015.04.025
Cluster Parallelism of the Neuroprocessor Systems Based on the Fuzzy Logic
Abstract— The article is devoted to the development of the neuroprocessor system (NPS) model
based on the clustering and the analysis of the obtained fuzzy structures. The production model of
explicit and implicit parallelism is suggested. The given model could be used for the intelligent
compiler development and for the choice of the optimal technical parameters, such as NPS modules
number, the firmware memory volume, the system productivity etc.
Index Terms— neurorpocessor system, equivalence classes, clustering, fuzzy clustering, explicit and implicit parallelism, linguistic variables, intellectual compiler, fuzzy logic
Ruchkin Vladimir Nicolaevich, Romanchuk Vitaliy Alexandrovich, Fulin Vladimir Andreevich
Ryazan State University, RUSSIA
Cite: Ruchkin Vladimir Nicolaevich, Kostrov Boris Vasilyevich, Romanchuk Vitaliy Alexandrovich, Fulin Vladimir Andreevich, Ruchkina Ekaterina Vladimirovna, "Cluster Parallelism of the Neuroprocessor Systems Based on the Fuzzy Logic," 2015 The 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering (WCSE 2015-IPCE), pp. 154-160, Moscow, Russia, April 15-17, 2015.