سایت CEB:ترجمه تخصصی رشته کامپیوتر - معرفی و دانلود کتب انگلیسی رشته کامپیوتر

امتیاز کاربران

ستاره فعالستاره فعالستاره فعالستاره فعالستاره فعال
 

انتشارات: Prentice-Hall, Inc.

اثر: Selim G. Akl

تعداد صفحه: 415

حجم: 14.6MB

جلد کتاب

توضیحات کتاب (خلاصه پیشگفتار):

The need for ever faster computers has not ceased since the beginning of the computer era. Every new application seems to push existing computers to their limit. The number of operations a computer can do in one second has doubled, roughly every two years, over the past forty years. This is very impressive, but how long can it last? It is generally believed that the trend will remain until the end of this century. It may even be possible to maintain it a little longer by using optically based or even biologically based components. What happens after that?

Already, computers faster than any available today are needed to perform the enormous number of calculations involved in developing cures to mysterious diseases. They are essential to applications where the human ability to recognize complex visual and auditory patterns is to be simulated in real time. And they are indispensable if we are to realize many of humanity's dreams, ranging from reliable long-term weather forecasting to interplanetary travel and outer space exploration. It appears now that parallel processing is the way to achieve these desired computing speeds.

The overwhelming majority of computers in existence today, from the simplest to the most powerful, are conceptually very similar to one another. With parallel processing the situation is entirely different. A parallel computer is one that consists of a collection of processing units, or processors, that cooperate to solve a problem by working simultaneously on different parts of that problem. The number of processors used can range from a few tens to several millions.

The parallel approach is attractive for a number of reasons. First, for many computational problems, the natural solution is a parallel one. Second, the cost and size of computer components have declined so sharply in recent years that parallel computers with a large number of processors have become feasible. And third, it is possible in parallel processing to select the parallel architecture that is best suited to solve the problem or class of problems under consideration. Indeed, architects of parallel computers have the freedom to decide how many processors are to be used, how powerful these should be, what interconnection network links them to one another, whether they share a common memory, to what extent their operations are to be carried out synchronously, and a host of other issues.

This book is about algorithms for parallel computers. It describes how to go about designing algorithms that exploit both the parallelism inherent in the problem and that available on the computer. It also shows how to analyze these algorithms in order to evaluate their speed and cost. The computational problems studied in this book are grouped into three classes: (1) sorting, searching, and related problems; (2) combinatorial and numerical problems; and (3) problems arising in a number of application areas.These problems were chosen due to their fundamental nature. In some cases, several algorithms are presented that perform the same job, each on a different model of parallel computation. Examples are used as often as possible to illustrate the algorithms. Where necessary, a sequential algorithm is outlined for the problem at hand.

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