Title :
Implementation of the neocognitron on a SIMD architecture
Author :
Neveu, J.N.P. ; Kumar, M.J.
Author_Institution :
Dept. of Comput. Sci., Curtin Univ. of Technol., Bentley, WA, Australia
fDate :
29 Nov-2 Dec 1994
Abstract :
We consider the implementation of one of the most complex neural networks, the neocognitron, on a SIMD parallel machine. The neocognitron is a network with a heavy cell load and intricate interconnections among its neurons or cells. Its structure is qualitatively similar to the mammalian visual system and its algorithm exhibits data parallelism at several levels. The proposed implementation makes use of an optimal mapping strategy exploring this data parallelism and the communication network of the MasPar Mp12000 SIMD computer
Keywords :
neural net architecture; parallel architectures; parallel machines; virtual machines; MasPar Mp12000 SIMD computer; SIMD architecture; SIMD parallel machine; communication network; complex neural networks; data parallelism; heavy cell load; intricate interconnections; mammalian visual system; neocognitron; optimal mapping strategy; Computer architecture; Computer networks; Computer science; Computer simulation; Concurrent computing; Costs; Neural networks; Neurons; Parallel processing; Visual system;
Conference_Titel :
Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-2404-8
DOI :
10.1109/ANZIIS.1994.396925
