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Parallel Processing and Parallel Algorithms - Theory and Computation (Paperback, Softcover reprint of the original 1st ed. 2000)
Loot Price: R2,918
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Parallel Processing and Parallel Algorithms - Theory and Computation (Paperback, Softcover reprint of the original 1st ed. 2000)
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Motivation It is now possible to build powerful single-processor
and multiprocessor systems and use them efficiently for data
processing, which has seen an explosive ex pansion in many areas of
computer science and engineering. One approach to meeting the
performance requirements of the applications has been to utilize
the most powerful single-processor system that is available. When
such a system does not provide the performance requirements,
pipelined and parallel process ing structures can be employed. The
concept of parallel processing is a depar ture from sequential
processing. In sequential computation one processor is in volved
and performs one operation at a time. On the other hand, in
parallel computation several processors cooperate to solve a
problem, which reduces computing time because several operations
can be carried out simultaneously. Using several processors that
work together on a given computation illustrates a new paradigm in
computer problem solving which is completely different from
sequential processing. From the practical point of view, this
provides sufficient justification to investigate the concept of
parallel processing and related issues, such as parallel
algorithms. Parallel processing involves utilizing several factors,
such as parallel architectures, parallel algorithms, parallel
programming lan guages and performance analysis, which are strongly
interrelated. In general, four steps are involved in performing a
computational problem in parallel. The first step is to understand
the nature of computations in the specific application domain.
General
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