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ISBN: 9780511243431

ID: 9780511243431

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. Introduction to Parallel and Vector Scientific Computation: 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., Cambridge University Press

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10, ISBN: 9780511243431

ID: 101159780511243431

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 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. Vector Analysis, Mathematics, An Introduction to Parallel and Vector Scientific Computation~~ Shonkwiler, Ronald W.~~Vector Analysis~~Mathematics~~9780511243431, en, An Introduction to Parallel and Vector Scientific Computation, Shonkwiler, Ronald W., 9780511243431, Cambridge University Press, 10/01/2006, , , , Cambridge University Press, 10/01/2006

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2006, ISBN: 9780511243431

ID: 5585142

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. 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. eBooks, Computing~~Computer Networking and Communications, Introduction To Parallel And Vector Scientific Computation~~EBook~~9780511243431~~Ronald W. Shonkwiler, Lew Lefton, , Introduction To Parallel And Vector Scientific Computation, Ronald W. Shonkwiler, 9780511243431, Cambridge University Press, 08/14/2006, , , , Cambridge University Press

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ISBN: 9780511243431

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. eBooks Computing~~Computer Networking and Communications Introduction To Parallel And Vector Scientific Computation~~EBook~~9780511243431~~Ronald W. Shonkwiler, Lew Lefton Introduction To Parallel And Vector Scientific Computation

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ISBN: 9780511243431

ID: 9780511243431

In this introductory text, the fundamental algorithms of numerical linear algebra are developed in a parallel context.; PDF \ Alan Wright; Computing, Cambridge University Press

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** Details of the book - An Introduction to Parallel and Vector Scientific Computation**

EAN (ISBN-13): 9780511243431

Publishing year: 2006

Publisher: Cambridge University Press

Book in our database since 08.03.2008 09:25:58

Book found last time on 08.11.2017 09:45:31

ISBN/EAN: 9780511243431

ISBN - alternate spelling:

978-0-511-24343-1

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