This book sets out the principles of parallel computing in a way
which should be useful to student and potential user alike. It
includes coverage of both conventional and neural computers. The
content of the book is arranged hierarchically. It explains why,
where and how parallel computing is used; 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 of the book 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.
General
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