NDLI: Addressing architecture for brain-like massively parallel computers

Content Provider	IEEE Xplore Digital Library
Author	Cohen, A.A.
Copyright Year	2004
Description	Author affiliation: Colman Coll., Israel (Cohen, A.A.)
Abstract	This paper is concerned with a new type of computer architecture being massively parallel. It describes novel approaches that were developed to solve task execution performance problems inherent in all current parallel computers. It also gives an overview of current addressing methods issues, unique algorithms for storage retrieval and communication between processing nodes scattered in a volume of space, developed for the brain-like machine that comprises of numerous numbers of neuronic like nodes positioned on unique bus tracks connected to each other forming a geographical map containing complex 'network layers', comprising of multiple communicating nodes forming mini, maxi, intelligent processing layers. The unique bus tracks containing mini and or maxi processing nodes are fully connected to form the next generation network for the brain-like massively parallel distributed or tightly coupled computing systems. A simulation that demonstrates the operation of the novel architecture addressing nodes positioned in a volume of space is given.
Starting Page	594
Ending Page	597
File Size	232576
Page Count	4
File Format	PDF
ISBN	0769522033
DOI	10.1109/DSD.2004.1333330
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-08-31
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer architecture Concurrent computing Scattering Complex networks Intelligent networks Machine intelligence Next generation networking Computer networks Distributed computing Brain modeling
Content Type	Text
Resource Type	Article

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