DocumentCode :
2647768
Title :
A parallel ASIC VLSI neurocomputer for a large number of neurons and billion connections per second speed
Author :
Shimokawa, Yoshiyuki ; Fuwa, Yutaka ; Aramaki, Naruhiko
Author_Institution :
Toshiba Corp., Tokyo, Japan
fYear :
1991
fDate :
18-21 Nov 1991
Firstpage :
2162
Abstract :
A programmable high-performance and high-speed neurocomputer for a large neural network is developed using an application specific IC (ASIC) neurocomputing chip made by CMOS VLSI technology. The neurocomputer consists of one master node and multiple slave nodes which are connected by two data paths, a broadcast bus and a ring bus. The neurocomputer was built on one printed circuit board having 50 VLSI chips that offers 1-2 billion connections/s. This computer uses SIMD (single-instruction multiple-data stream) to simplify hardware and operation, and to ease programming. Only the master node has a program counter that controls both master and slave instructions. The same slave instructions are fed to all slave nodes simultaneously. It can execute complicated computations, memory access and memory address control, and data paths control in a single instruction and in a single time step using a pipeline. The neurocomputer processes forward and backward calculation of multilayer perceptron type neural networks, feedback type neural networks, and any other type of programming
Keywords :
CMOS integrated circuits; VLSI; application specific integrated circuits; neural nets; parallel machines; parallel programming; pipeline processing; ASIC; CMOS VLSI; SIMD; billion connections per second; broadcast bus; data paths control; forward and backward calculation; master node; memory access; memory address control; neural network; parallel neurocomputer; parallel programming; pipeline processing; ring bus; slave nodes; Application specific integrated circuits; CMOS integrated circuits; CMOS technology; Feedforward neural networks; High speed integrated circuits; Master-slave; Multi-layer neural network; Neural networks; Neurons; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
Type :
conf
DOI :
10.1109/IJCNN.1991.170708
Filename :
170708
Link To Document :
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