Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!usc!snorkelwacker!bloom-beacon!eru!hagbard!sunic!mcsun!cernvax!chx400!unizh!almassy From: almassy@ifi.unizh.ch (Nikolaus Almassy) Newsgroups: comp.ai.neural-nets Subject: NN simulator benchmarks wanted Keywords: C, Back-prop, Neural Nets Message-ID: <1990Sep11.134628.23507@ifi.unizh.ch> Date: 11 Sep 90 13:46:28 GMT Organization: University of Zurich, Department of Computer Science Lines: 20 Hi Neural Experts, I am looking for a STRATEGY FOR DEFINING BENCHMARKS on the performance of neural network simulators/implementations, i.e. updates/per second or just a update of a simple connection vs the whole net (using the learning rule Back Propagation). I think there are some well known strategies. Especially I would like to know how fast some common (RCS, ...) simulators on a SPARCststion 1 running SunOS 4.0.3 are and what exactly is measured. Thanks to every reply, Nick. -- Nikolaus Almassy Department for Informatik | Tel + 41 - 1 - 257 43 15 University Zurich-Irchel | Fax + 41 - 1 - 363 00 35 Winterthurerstrasse 190 | almassy@ifi.unizh.ch