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It has been widely recognized that artificial intelligence
computations offer large potential for distributed and parallel
processing. Unfortunately, not much is known about designing
parallel AI algorithms and efficient, easy-to-use parallel computer
architectures for AI applications. The field of parallel
computation and computers for AI is in its infancy, but some
significant ideas have appeared and initial practical experience
has become available. The purpose of this book has been to collect
in one volume contributions from several leading researchers and
pioneers of AI that represent a sample of these ideas and
experiences. This sample does not include all schools of thought
nor contributions from all leading researchers, but it covers a
relatively wide variety of views and topics and in this sense can
be helpful in assessing the state ofthe art. We hope that the book
will serve, at least, as a pointer to more specialized literature
and that it will stimulate interest in the area of parallel AI
processing. It has been a great pleasure and a privilege to
cooperate with all contributors to this volume. They have my
warmest thanks and gratitude. Mrs. Birgitta Knapp has assisted me
in the editorial task and demonstrated a great deal of skill and
patience. Janusz S. Kowalik vii INTRODUCTION Artificial
intelligence (AI) computer programs can be very time-consuming.
Most of the papers in this volume were presented at the NATO
Advanced Research Workshop High Performance Computing: Technology
and Application, held in Cetraro, Italy from 24 to 26 of June,
1996. The main purpose of the Workshop was to discuss some key
scientific and technological developments in high performance
computing, identify significant trends and defme desirable research
objectives. The volume structure corresponds, in general, to the
outline of the workshop technical agenda: general concepts and
emerging systems, software technology, algorithms and applications.
One of the Workshop innovations was an effort to extend slightly
the scope of the meeting from scientific/engineering computing to
enterprise-wide computing. The papers on performance and
scalability of database servers, and Oracle DBMS reflect this
attempt We hope that after reading this collection of papers the
readers will have a good idea about some important research and
technological issues in high performance computing. We wish to give
our thanks to the NATO Scientific and Environmental Affairs
Division for being the principal sponsor for the Workshop. Also we
are pleased to acknowledge other institutions and companies that
supported the Workshop: European Union: European Commission
DGIII-Industry, CNR: National Research Council of Italy, University
of Calabria, Alenia Spazio, Centro Italiano Ricerche Aerospaziali,
ENEA: Italian National Agency for New Technology, Energy and the
Environment, Fujitsu, Hewlett Packard-Convex, Hitachi, NEC, Oracle,
and Silicon Graphics-Cray Research. Editors January 1997 vii LIST
OF CONTRIBUTORS Ecole Nonnale Sucentsrieure de Lyon, 69364
Abarbanel. Robert
It has been widely recognized that artificial intelligence
computations offer large potential for distributed and parallel
processing. Unfortunately, not much is known about designing
parallel AI algorithms and efficient, easy-to-use parallel computer
architectures for AI applications. The field of parallel
computation and computers for AI is in its infancy, but some
significant ideas have appeared and initial practical experience
has become available. The purpose of this book has been to collect
in one volume contributions from several leading researchers and
pioneers of AI that represent a sample of these ideas and
experiences. This sample does not include all schools of thought
nor contributions from all leading researchers, but it covers a
relatively wide variety of views and topics and in this sense can
be helpful in assessing the state ofthe art. We hope that the book
will serve, at least, as a pointer to more specialized literature
and that it will stimulate interest in the area of parallel AI
processing. It has been a great pleasure and a privilege to
cooperate with all contributors to this volume. They have my
warmest thanks and gratitude. Mrs. Birgitta Knapp has assisted me
in the editorial task and demonstrated a great deal of skill and
patience. Janusz S. Kowalik vii INTRODUCTION Artificial
intelligence (AI) computer programs can be very time-consuming.
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