prechelt@i41s14.ira.uka.de (Lutz Prechelt) (06/11/91)
Does anybody do any systematic research on implementations of
Neural Networks on SIMD machines ?
I am not thinking of these simple kinds of problems that have of
course long been solved, such as a single net with backpropagation
(for instance the work of Zhang or Rosenberg/Blelloch).
What I am thinking of is a complete methodology for complex NN
applications:
- how to lay out irregular nets
- how to train or execute multiple nets of different types in parallel
- how to organize memory usage cleverly
- if I/O is necessary, how to organize it best.
- how to integrate the NNs with the rest of an application on a
parallel machine.
I know that there is some work on these issues for MIMD machines
(especially Transputer Arrays), but for SIMD many problems are very
different.
Please reply by email; I'll summarize on the net.
Lutz
Lutz Prechelt (++49/721/608-4317, FAX: ++49/721/697760)
Institut fuer Programmstrukturen und Datenorganisation
Universitaet Karlsruhe; D-7500 Karlsruhe 1; Germany
prechelt@ira.uka.de or prechelt!ira.uka.de@relay.csnet
--
=========================== MODERATOR ==============================
Steve Stevenson {steve,fpst}@hubcap.clemson.edu
Department of Computer Science, comp.parallel
Clemson University, Clemson, SC 29634-1906 (803)656-5880.mabell