Senin, 08 Desember 2014

[O606.Ebook] Download Ebook Parallel Processing and Parallel Algorithms: Theory and Computation, by Seyed H Roosta

Download Ebook Parallel Processing and Parallel Algorithms: Theory and Computation, by Seyed H Roosta

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Parallel Processing and Parallel Algorithms: Theory and Computation, by Seyed H Roosta

Parallel Processing and Parallel Algorithms: Theory and Computation, by Seyed H Roosta



Parallel Processing and Parallel Algorithms: Theory and Computation, by Seyed H Roosta

Download Ebook Parallel Processing and Parallel Algorithms: Theory and Computation, by Seyed H Roosta

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Parallel Processing and Parallel Algorithms: Theory and Computation, by Seyed H Roosta

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.

  • Sales Rank: #2741082 in Books
  • Published on: 1999-12-10
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.00" h x 1.25" w x 7.00" l, 2.45 pounds
  • Binding: Hardcover
  • 566 pages

Most helpful customer reviews

4 of 5 people found the following review helpful.
hmm
By A Customer
cons:
1. At least in the first printing, the book is loaded with mistakes that could have been caught by even a bad job of editing. The layout isn't too good either, which can make some things hard to read - the author could have used TeX like everyone else who publishes for Springer.
2. The author has the annoying habit of using the present tense when referring to ancient developments in the field, thus making it sound like old techniques (authors, products, etc) are still in vogue. This makes me wonder whether the book had any pre-publication readers or editors with experience in the field.
3. Much of the coverage is a superficial regurgitation of other books and surveys.
4. Due to the topic selection, it is not really suitable for any particular course, but see below.
Pros:
1. The book does a reasonably good job of surveying the many approaches to parallel architecture and parallel programming that have been studied over the last twenty years.
2. Many ideas are ignored by current textbooks because they have been usurped by the cluster & MIMD approach, MPI, and java. This book covers topics like dataflow architectures, connection machines (and their prog. languages) and so forth, which in my IMHO are important for current students and researchers to know of.

2 of 3 people found the following review helpful.
reviewed by a student
By T. Blair
This textbook provides an exceptional introduction to parallel
processing by balancing the theory and computation.
The emphasize was on designing, analyzing, and implementing
parallel algorithms suitable for execution on parallel systems.
As a student interested in parallel processing, I did learn how
to make efficient use of emerging parallel computer tchnology.
I do highly recommend this book to anybody interested in this area of computer science.

0 of 0 people found the following review helpful.
Great book for parallel computation
By andrew egard
Seems to me that the book is organized very well in order to provide enough knowledge in the area of parallel processing and parallel algorithms. Presenting difficult subjects with calrity and completness was an important criteria of the book.

See all 5 customer reviews...

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