Free PDF An Introduction to Parallel and Vector Scientific Computing (Cambridge Texts in Applied Mathematics), by Ronald W. Shonkwiler, Lew Lefton
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An Introduction to Parallel and Vector Scientific Computing (Cambridge Texts in Applied Mathematics), by Ronald W. Shonkwiler, Lew Lefton
Free PDF An Introduction to Parallel and Vector Scientific Computing (Cambridge Texts in Applied Mathematics), by Ronald W. Shonkwiler, Lew Lefton
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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.
- Sales Rank: #11867835 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2006-08-14
- Original language: English
- Number of items: 1
- Dimensions: 8.98" h x .83" w x 5.98" l, 1.37 pounds
- Binding: Hardcover
- 308 pages
- Used Book in Good Condition
Review
'... in spite of the clear need to present these concepts to a much broader technical audience, there is a perplexing dearth of training material and textbooks in the field, particularly at the introductory level. ... it is indeed refreshing to see the publication of the book An Introduction to Parallel and Vector Scientific Computing, written by Ronald W. Shonkwiler and Lew Lefton, both of the Georgia institute of Technology. They have taken the bull by the horns and produced a book that appears to be entirely satisfactory as an introductory textbook for use in such a course.' Scientific Programming
About the Author
Ronald W. Shonkwiler is a Professor in the School of Mathematics at the Georgia Institute of Technology. He has authored or co-authored over 50 research papers in areas of functional analysis, mathematical biology, image processing algorithms, fractal geometry, neural networks and Monte Carlo optimization methods. His algorithm for monochrome image comparison is part of a US patent for fractal image compression. He has co-authored two other books, An Introduction to the Mathematics of Biology and The Handbook of Stochastic Analysis and Applications.
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.
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