Intro to Parallel Vector Sci Comput
Language: English
Published by Cambridge University Press, 2006
Series: Book 23 of 44 - Cambridge Texts in Applied Mathematics
- Softcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods.…
Seller Inventory # 9780521683371
- Title
- Intro to Parallel Vector Sci Comput
- Author
- Lew Lefton
- Publisher
- Cambridge University Press
- Publication year
- 2006
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0521683378
- ISBN 13
- 9780521683371
- Item weight
- 500 grams
- Dimensions
- 229x152x18 mm
- Series
- Book 23 of 44: Cambridge Texts in Applied Mathematics
"Synopsis" may belong to another edition of this title.
About the Author
Lew Lefton is the Director of Information Technology at the Georgia Institute of Technology where he has built and maintained several computing clusters which are used to implement parallel computations. Prior to that he was a tenured faculty member in the Department of Mathematics at the University of New Orleans. His academic interests are in differential equations, applied mathematics, numerical analysis (in particular, finite element methods) and scientific computing.
"About the title" may belong to another edition of this title.
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