Parallel Scientific Computing in C++ and MPI

A Seamless Approach to Parallel Algorithms and their Implementation

Nonfiction, Computers, Advanced Computing, Computer Science, Science & Nature, Mathematics, General Computing
Cover of the book Parallel Scientific Computing in C++ and MPI by George Em Karniadakis, Robert M. Kirby II, Cambridge University Press
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Author: George Em Karniadakis, Robert M. Kirby II ISBN: 9781107485853
Publisher: Cambridge University Press Publication: June 16, 2003
Imprint: Cambridge University Press Language: English
Author: George Em Karniadakis, Robert M. Kirby II
ISBN: 9781107485853
Publisher: Cambridge University Press
Publication: June 16, 2003
Imprint: Cambridge University Press
Language: English

Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.

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Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.

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