9780306428623-0306428628-Introduction to Parallel and Vector Solution of Linear Systems (Frontiers in Computer Science)

Introduction to Parallel and Vector Solution of Linear Systems (Frontiers in Computer Science)

ISBN-13: 9780306428623
ISBN-10: 0306428628
Edition: 1988
Author: James M. Ortega
Publication date: 1988
Publisher: Springer
Format: Hardcover 316 pages
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Book details

ISBN-13: 9780306428623
ISBN-10: 0306428628
Edition: 1988
Author: James M. Ortega
Publication date: 1988
Publisher: Springer
Format: Hardcover 316 pages

Summary

Introduction to Parallel and Vector Solution of Linear Systems (Frontiers in Computer Science) (ISBN-13: 9780306428623 and ISBN-10: 0306428628), written by authors James M. Ortega, was published by Springer in 1988. With an overall rating of 4.4 stars, it's a notable title among other Computer Science books. You can easily purchase or rent Introduction to Parallel and Vector Solution of Linear Systems (Frontiers in Computer Science) (Hardcover) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.42.

Description

Although the origins of parallel computing go back to the last century, it was only in the 1970s that parallel and vector computers became available to the scientific community. The first of these machines-the 64 processor llliac IV and the vector computers built by Texas Instruments, Control Data Corporation, and then CRA Y Research Corporation-had a somewhat limited impact. They were few in number and available mostly to workers in a few government laboratories. By now, however, the trickle has become a flood. There are over 200 large-scale vector computers now installed, not only in government laboratories but also in universities and in an increasing diversity of industries. Moreover, the National Science Foundation's Super computing Centers have made large vector computers widely available to the academic community. In addition, smaller, very cost-effective vector computers are being manufactured by a number of companies. Parallelism in computers has also progressed rapidly. The largest super computers now consist of several vector processors working in parallel. Although the number of processors in such machines is still relatively small (up to 8), it is expected that an increasing number of processors will be added in the near future (to a total of 16 or 32). Moreover, there are a myriad of research projects to build machines with hundreds, thousands, or even more processors. Indeed, several companies are now selling parallel machines, some with as many as hundreds, or even tens of thousands, of processors.

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