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An introduction to parallel and vector scientific computing PDF

306 Pages·2006·1.443 MB·English
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by Ronald W. Shonkwiler, Lew Lefton| 2006| 306 pages| 1.443| English

About An introduction to parallel and vector scientific computing

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.

Detailed Information

Author:Ronald W. Shonkwiler, Lew Lefton
Publication Year:2006
ISBN:9780521683371
Pages:306
Language:English
File Size:1.443
Format:PDF
Price:FREE
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