paper mauduit.lneuro.ps.Z available at archive.cis.ohio-state.edu

[Nicolas Mauduit]

The preprint of the following paper, to appear in IEEE Neural Networks, 
march 92 special issue on hardware, is available by ftp from the 
neuroprose archive at archive.cis.ohio-state.edu (file mauduit.lneuro.ps.Z):

Lneuro 1.0: a piece of hardware LEGO for building neural network systems
(to appear in IEEE Neural Networks, march 92 special issue on hardware)

by Nicolas MAUDUIT       UCSD, dept. ECE, EBU1
			 La Jolla, CA 92093-0407
			 USA

   Marc DURANTON         LEP, div. 21
   Jean GOBERT           B.P. 15, 22, avenue Descartes
   Jacques-Ariel SIRAT   94453 Limeil Brevannes France

Abstract:

The state of our experiments on neural networks simulations on a parallel 
architecture is presented here. A digital architecture was selected, scalable 
and flexible enough to be useful for simulating various kinds of networks and 
paradigms. The computing device is based on an existing coarse grain parallel 
framework (INMOS Transputers), improved with finer grain parallel abilities 
through VLSI chips, called the Lneuro 1.0, for LEP neuromimetic circuit.
The modular architecture of the circuit enables to build various kinds of boards
to match the foreseen range of applications, or to increase the power of the 
system by adding more hardware. The resulting machine remains reconfigurable 
according to a specific problem to some extent, at the system level through the 
Transputers framework, as well as at the circuit level.

A small scale machine has been realized using 16 Lneuros arranged in clusters 
composed of 4 circuits and a controller, to experimentally test the behaviour of
this architecture (the communication, control, primitives required, etc.).
Results are presented on an integer version of Kohonen feature maps. The speedup
factor increases regularly with the number of clusters involved (up to a factor 
80). Some ways to improve this family of neural networks simulation machines are
also investigated.

--------------------------------------------------------------------------------
The file can be obtained the usual way:

unix> ftp archive.cis.ohio-state.edu (or 128.146.8.52)
Name: anonymous
Password: ...  
ftp> cd pub/neuroprose
ftp> binary
ftp> get mauduit.lneuro.ps.Z
ftp> quit
unix> uncompress mauduit.lneuro.ps.Z

then print the file mauduit.lneuro.ps on a postscript printer

Nicolas Mauduit

----------------------------------------------------------------
Nicolas Mauduit, Dept ECE   | Phone (619) 534 6026
UCSD EBU 1                  | FAX (619) 534 1225
San Diego CA 92093-0407 USA | Email mauduit at celece.ucsd.edu