A Programmable Parallel Digital Neurocomputer

Yoshiyuki SHIMOKAWA; Yutaka FUWA; Naruhiko ARAMAKI

A Programmable Parallel Digital Neurocomputer

Yoshiyuki SHIMOKAWA, Yutaka FUWA, Naruhiko ARAMAKI

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We developed programmable high-performance and high-speed neurocomputer for a large neural network using ASIC neurocomputing chips 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 nodes are made by ASIC chips and each chip has plural nodes in it. The node has four types of computation hardware that can be cascaded in series forming a pipeline. Processing speed is proportional to the number of nodes. The neurocomputer is built on one printed circuit board having 65 VLSI chips that offers 1.5 billion connections/sec. The neurocomputer uses SIMD for easy programming and simple hardware. 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 the pipeline. The neurocomputer processes forward and backward calculations of multilayer perceptron type neural networks, LVQ, feedback type neural networks such as Hopfield model, and any other types by programming. To compute neural computation effectively and simply in a SIMD type neurocomputer, new processing methods are proposed for parallel computation such as delayed instruction execution, and reconfiguration.

Publication: IEICE TRANSACTIONS on Electronics Vol.E76-C No.7 pp.1197-1205

Publication Date: 1993/07/25

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Type of Manuscript: Special Section PAPER (Special Issue on New Architecture LSIs)

Category: Neural Networks and Chips

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Yoshiyuki SHIMOKAWA, Yutaka FUWA, Naruhiko ARAMAKI, "A Programmable Parallel Digital Neurocomputer" in IEICE TRANSACTIONS on Electronics, vol. E76-C, no. 7, pp. 1197-1205, July 1993, doi: .
Abstract: We developed programmable high-performance and high-speed neurocomputer for a large neural network using ASIC neurocomputing chips 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 nodes are made by ASIC chips and each chip has plural nodes in it. The node has four types of computation hardware that can be cascaded in series forming a pipeline. Processing speed is proportional to the number of nodes. The neurocomputer is built on one printed circuit board having 65 VLSI chips that offers 1.5 billion connections/sec. The neurocomputer uses SIMD for easy programming and simple hardware. 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 the pipeline. The neurocomputer processes forward and backward calculations of multilayer perceptron type neural networks, LVQ, feedback type neural networks such as Hopfield model, and any other types by programming. To compute neural computation effectively and simply in a SIMD type neurocomputer, new processing methods are proposed for parallel computation such as delayed instruction execution, and reconfiguration.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e76-c_7_1197/_p

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@ARTICLE{e76-c_7_1197,
author={Yoshiyuki SHIMOKAWA, Yutaka FUWA, Naruhiko ARAMAKI, },
journal={IEICE TRANSACTIONS on Electronics},
title={A Programmable Parallel Digital Neurocomputer},
year={1993},
volume={E76-C},
number={7},
pages={1197-1205},
abstract={We developed programmable high-performance and high-speed neurocomputer for a large neural network using ASIC neurocomputing chips 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 nodes are made by ASIC chips and each chip has plural nodes in it. The node has four types of computation hardware that can be cascaded in series forming a pipeline. Processing speed is proportional to the number of nodes. The neurocomputer is built on one printed circuit board having 65 VLSI chips that offers 1.5 billion connections/sec. The neurocomputer uses SIMD for easy programming and simple hardware. 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 the pipeline. The neurocomputer processes forward and backward calculations of multilayer perceptron type neural networks, LVQ, feedback type neural networks such as Hopfield model, and any other types by programming. To compute neural computation effectively and simply in a SIMD type neurocomputer, new processing methods are proposed for parallel computation such as delayed instruction execution, and reconfiguration.},
keywords={},
doi={},
ISSN={},
month={July},}

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TY - JOUR
TI - A Programmable Parallel Digital Neurocomputer
T2 - IEICE TRANSACTIONS on Electronics
SP - 1197
EP - 1205
AU - Yoshiyuki SHIMOKAWA
AU - Yutaka FUWA
AU - Naruhiko ARAMAKI
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E76-C
IS - 7
JA - IEICE TRANSACTIONS on Electronics
Y1 - July 1993
AB - We developed programmable high-performance and high-speed neurocomputer for a large neural network using ASIC neurocomputing chips 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 nodes are made by ASIC chips and each chip has plural nodes in it. The node has four types of computation hardware that can be cascaded in series forming a pipeline. Processing speed is proportional to the number of nodes. The neurocomputer is built on one printed circuit board having 65 VLSI chips that offers 1.5 billion connections/sec. The neurocomputer uses SIMD for easy programming and simple hardware. 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 the pipeline. The neurocomputer processes forward and backward calculations of multilayer perceptron type neural networks, LVQ, feedback type neural networks such as Hopfield model, and any other types by programming. To compute neural computation effectively and simply in a SIMD type neurocomputer, new processing methods are proposed for parallel computation such as delayed instruction execution, and reconfiguration.
ER -