DocumentCode :
2389428
Title :
SPIN: a sequential pipelined neurocomputer
Author :
Vassiliadis, S. ; Pechanek, G.G. ; Delgado-Frias, J.G.
Author_Institution :
IBM, Endicott, NY, USA
fYear :
1991
fDate :
10-13 Nov 1991
Firstpage :
74
Lastpage :
81
Abstract :
A novel digital network architecture, the sequential pipelined neurocomputer (SPIN), is proposed. The SPIN processor emulates neural networks, producing high performance with minimal hardware by sequentially processing each neuron in the modeled completely connected network with a pipelined physical neuron structure. In addition to describing SPIN, performance equations are estimated for the ring systolic, the recurrent systolic array, and the neuromimetic neurocomputer architectures, three previously reported schemes for the emulation of neural networks, and a comparison with the SPIN architecture is reported
Keywords :
neural nets; parallel processing; pipeline processing; systolic arrays; SPIN processor; digital network architecture; neural networks; neuromimetic neurocomputer architectures; recurrent systolic array; ring systolic array; sequential pipelined neurocomputer; Computer architecture; Costs; Emulation; Equations; Neural network hardware; Neural networks; Neurons; Recurrent neural networks; Systolic arrays; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools for Artificial Intelligence, 1991. TAI '91., Third International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
0-8186-2300-4
Type :
conf
DOI :
10.1109/TAI.1991.167078
Filename :
167078
Link To Document :
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