Understanding Parallel Supercomputing
Published on 17. August 1998
Book
Paperback/Softback
370 pages
978-0-7803-1120-6 (ISBN)
Description
UNDERSTANDING PARALLEL SUPERCOMPUTING is an exhaustive, applications-oriented survey of the world's largest and fastest computers. Beginning with the evolution of parallel supercomputing technology in recent history, author R. Michael Hord goes on to illustrate architectural concepts and implementations at the very center of today's cutting-edge technology. Topics featured include: technology benefits and drawbacks, software tools and programming languages, major programming concepts, sample parallel programs, algorithmic methods, both SIMD and MIMD architectures. This carefully written text will be of interest to engineers, scientists, and program managers involved in geologic exploration, aircraft design, image processing, weather modeling, operations, research, chemical synthesis, and medical applications. It will also be of practical use to computer specialists.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 228 mm
Width: 155 mm
Weight
482 gr
ISBN-13
978-0-7803-1120-6 (9780780311206)
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Schweitzer Classification
Person
About the Author R. MICHAEL HORD is a national leader in high-performance computing and is presently a member of the senior technical staff at DBA Systems, a wholly-owned subsidiary of the Titan Corporation. His prior experience includes positions with MRJ, Inc., General Research Corporation, and Institute for Advanced Computation, among others. Mr. Hord has also worked under contract for NASA and the Air Force where he and his staff assessed technology readiness for future space systems and performed application analysis for innovative on-board processor architectures. Mr. Hord has written seven books and scores of papers addressing advanced parallel computing, digital image processing, and space technology. He has long been active in the applied imagery pattern recognition community, has been an IEEE Distinguished Visitor, and is a guest lecturer at several universities. His B.S. in physics was granted by Notre Dame University in 1962 and in 1966 he earned an M.S. in physics from the University of Maryland.
Content
Parallel Processing Concepts; History; SIMD; MIMD; Alternative Architectures; Distributed Heterogeneous Supercomputing; Software; Applications; Appendix Glossary.(Part contents).