This book sets out the principles of parallel computing,
explaining why, where, and how parallel computing is used. It is
unique in its coverage of both conventional and neural computing
(which act in ways similar to human brains), and also covers such
topics as the fundamental paradigms employed in the field, how
systems are programmed or trained, technical aspects including
connectivity and processing element complexity, and how system
performance is estimated (and why doing so is difficult). The
penultimate chapter comprises a set of case studies of archetypal
parallel computers, each study written by an individual closely
connected with the system in question. The final chapter correlates
the various aspects of parallel computing into a taxonomy of
systems.
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