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The authors provide an in-depth, comprehensive examination of
hierarchical parallel systems within a comparative and taxonomical
framework. They include a general introduction to hierarchical
structures, possible topologies, and possible designs; an in-depth
discussion of all proposed or built hierarchical parallel systems;
and language supports and programming strategies. Their work will
serve as both a teacher and reference to programmers and students
in computer sciences and electrical engineering.
Create low power, higher performance circuits with shorter design
times using this practical guide to asynchronous design. This
practical alternative to conventional synchronous design enables
performance close to full-custom designs with design times that
approach commercially available ASIC standard cell flows. It
includes design trade-offs, specific design examples, and
end-of-chapter exercises. Emphasis throughout is placed on
practical techniques and real-world applications, making this ideal
for circuit design students interested in alternative design styles
and system-on-chip circuits, as well as circuit designers in
industry who need new solutions to old problems.
This book deals with the creation of local innovation systems (LIS)
in emerging countries. The authors analyze the role of the
government, firms and research centers in the formation of LIS.
Special attention is paid to the manner in which different leading
actors implement their LIS development strategies. The book
presents detailed case studies on different strategies used to
implement LIS in Singapore, Dubai, Taiwan and Iran.
Computer vision deals with the problem of manipulating information
contained in large quantities of sensory data, where raw data
emerge from the transducing 6 7 sensors at rates between 10 to 10
pixels per second. Conventional general purpose computers are
unable to achieve the computation rates required to op erate in
real time or even in near real time, so massively parallel systems
have been used since their conception in this important practical
application area. The development of massively parallel computers
was initially character ized by efforts to reach a speedup factor
equal to the number of processing elements (linear scaling
assumption). This behavior pattern can nearly be achieved only when
there is a perfect match between the computational struc ture or
data structure and the system architecture. The theory of
hierarchical modular systems (HMSs) has shown that even a small
number of hierarchical levels can sizably increase the
effectiveness of very large systems. In fact, in the last decade
several hierarchical architectures that support capabilities which
can overcome performances gained with the assumption of linear
scaling have been proposed. Of these architectures, the most
commonly considered in com puter vision is the one based on a very
large number of processing elements (PEs) embedded in a pyramidal
structure. Pyramidal architectures supply the same image at
different resolution lev els, thus ensuring the use of the most
appropriate resolution for the operation, task, and image at hand.
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