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portada Parallel Processing and Parallel Algorithms: Theory and Computation
Type
Physical Book
Author
Publisher
Language
English
Pages
566
Format
Paperback
Dimensions
25.4 x 17.8 x 3.0 cm
Weight
1.01 kg.
ISBN13
9781461270485
Categories

Parallel Processing and Parallel Algorithms: Theory and Computation

Seyed H. Roosta (Author) · Springer · Paperback

Parallel Processing and Parallel Algorithms: Theory and Computation - Roosta, Seyed H.

New Book Imported to Canada
Delivery: 31 Aug - 10 Sep Shipping: 6 to 8 business days.
C$ 141.66
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C$ 141.66

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Synopsis "Parallel Processing and Parallel Algorithms: Theory and Computation"

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.

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