"Deep Blue: IBM's Massively Parallel Chess Machine"

             Gabriel M. Silberman

        IBM Centre for Advanced Studies
              IBM Toronto Laboratory


   IBM's premiere chess system, based on an IBM RS/6000 SP
   scalable parallel processor, made history by defeating
   world chess champion Garry Kasparov.  Deep Blue's chess
   prowess stems from its capacity to examine over 200
   million board positions per second, utilizing the computing
   resources of a 32-node IBM RS/6000-SP, populated with 512
   special purpose chess accelerators.

   In this talk we describe some of the technology behind
   Deep Blue, how chess knowledge was incorporated into its
   software, as well as the attitude of the media and general
   public during the match.


Gabriel M. Silberman is program director for CAS, the Centre for
Advanced Studies at IBM's Toronto Laboratory.  Dr. Silberman comes
to CAS from the applications systems technologies department at the
IBM T.J. Watson Research Center, Yorktown Heights, NY, where he managed
the Wideband Processor and I/O Architectures group.  He received his
B.Sc. and M.Sc. degrees in computer science from the Technion - Israel
Institute of Technology, and the Ph.D. degree in computer science from
the State University of New York at Buffalo.