Parallel Processing in Information Systems

Parallel Processing in Information Systems
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200
By:"John Van Zandt"
"Computers"
Published on 1992 by John Wiley & Sons Incorporated

The book also explores the enabling technologies for parallel processors (communication performance, microprocessor performance, and open systems).

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Corporate information systems will soon undergo dramatic changes due to the impact of recent developments in parallel processing technology. Key industry analysts now predict that by the end of this decade the majority of computers, from the PC to the high-end database server will be multiprocessors and parallel processors. Over the next five years, it is critical that computer professionals understand this revolutionary technology so that their companies can attain the competitive edge in information technology. Written by an expert in this field, Parallel Processing in Information Systems provides you with the essential facts of parallel computing as applied to MIS systems. You'll get important background information on the reasons and motivations behind this technology. The book also explores the enabling technologies for parallel processors (communication performance, microprocessor performance, and open systems). You'll find out how to categorize and differentiate between all of the parallel processors which exist and which are presently being designed. Parallel Processing in Information Systems examines the latest parallel processors through a series of examples (Sequent Symmetry, MasPar MP-1, Intel iPSC/860, Teradata DBC/1012, Intel Paragon, and Thinking Machines CM-5) and explains why they are successful in the commercial environment. For example, the Sequent Symmetry machine will be looked at as the power platform for relational databases. The Teradata DBC/1012's role is as a corporate information storehouse. And the Paragon is a massively parallel computer which is replacing supercomputers in computer rooms from aerospace firms to Wall Street. You'll find out how parallel processors can solve a wide range of business problems. Real life examples were taken from scientific modeling, databases and on-line transaction processing, general purpose time-sharing support, and information servers on a network. You'll find out how to write a program--or modify an existing one--which will help you take full advantage of parallel processing. You'll be provided with examples from two main approaches for writing parallel programs: data partitioning and function partitioning. Parallel Processing in Information Systems also covers selecting a parallel computer and the future of parallel processing.

This Book was ranked 24 by Google Books for keyword parallel processing.

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