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From: pmurali@gmuvax2.gmu.edu (Panchapagesan Murali)
Newsgroups: comp.ai.neural-nets
Subject: Parallel Processing/Neural Networks
Keywords: SIMD MIMD SYSTOLIC SCALING SIZE
Message-ID: <1576@gmuvax2.gmu.edu>
Date: 8 Jun 90 01:12:20 GMT
Organization: George Mason Univ., Fairfax, Va.
Lines: 22

I am interested in technical reports or good survey papers on "Highly
Parallel Implementations" of contemporary neural net algorithms and
an overview of the issues involved in every parallel implementation.

In particular I am looking for SIMD/MIMD and Dataflow implementations
and a classification that says which architecture is good for which
algorithm and what is the scale of the neural nets in each
implementation.  Can the scale of the neural net solve real life
problems ? If so in what time span ?

If any of the netters happen to know of papers or technical reports 
please email a copy to me.  If it is available only in hard copy
please mail me a copy. I shall pay for whatever expenses incurred.
My email address is 

pmurali@gmuvax2.gmu.edu


Thanks in advance.

Murali
.