[comp.parallel] parallel neural-net backpropagation

shaun@isr.recruit.co.jp (Shaun Lawson) (04/24/91)

You may be interested in the following paper:

T. Ito and K. Fukushima, Realization of a Neural Network Model Neocognitron
on a Hypercube Parallel Computer, in the International Journal of High Speed
Computing, Vol. 2, No. 1(1990)1-16.

Here at ISR I use the NEC SX-2A supercomputer.  I have a simple system
which generates a highly vectorizable simulator program in FORTAN based on a
user defined network definition.  Learning takes place on the supercomputer,
and after FTP'ing the weights file, the same program is used to run the
network on a SPARCstation.

I am interested in how you achieve the speedup of 7, with 8 SPARCs.

Have you measured the throughput in terms of CUPS (Connections Updated Per 
Second)?  If so, I would like to know what kind of performance you have 
achieved for what sized network(s).

Best wishes,

Shaun
-------------------------------------------------------------------------------
Shaun Lawson                                  Tel : (03)3536-7770
Institute for Supercomputing Research         Fax : (03)3536-7769
1-13-1 Kachidoki, Chuo-ku                Internet : shaun@isr.recruit.co.jp 
Tokyo, Japan 104                      Disclaimers : Standard


-- 
=========================== MODERATOR ==============================
Steve Stevenson                            {steve,fpst}@hubcap.clemson.edu
Department of Computer Science,            comp.parallel
Clemson University, Clemson, SC 29634-1906 (803)656-5880.mabell