Solution of Partial Differential Equations on Vector and Parallel Computers PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Solution of Partial Differential Equations on Vector and Parallel Computers PDF full book. Access full book title Solution of Partial Differential Equations on Vector and Parallel Computers by James M. Ortega. Download full books in PDF and EPUB format.
Author: James M. Ortega
Publisher: SIAM
ISBN: 0898710553
Category : Mathematics
Languages : en
Pages : 99
Get Book Here
Book Description
Mathematics of Computing -- Parallelism.
Author: James M. Ortega
Publisher: SIAM
ISBN: 0898710553
Category : Mathematics
Languages : en
Pages : 99
Get Book Here
Book Description
Mathematics of Computing -- Parallelism.
Author: James M. Ortega
Publisher: SIAM
ISBN: 9781611971774
Category : Mathematics
Languages : en
Pages : 100
Get Book Here
Book Description
This volume reviews, in the context of partial differential equations, algorithm development that has been specifically aimed at computers that exhibit some form of parallelism. Emphasis is on the solution of PDEs because these are typically the problems that generate high computational demands. The authors discuss architectural features of these computers insomuch as they influence algorithm performance, and provide insight into algorithm characteristics that allow effective use of hardware.
Author: Jianping Zhu
Publisher: World Scientific
ISBN: 9789810215781
Category : Computers
Languages : en
Pages : 284
Get Book Here
Book Description
This is an introductory book on supercomputer applications written by a researcher who is working on solving scientific and engineering application problems on parallel computers. The book is intended to quickly bring researchers and graduate students working on numerical solutions of partial differential equations with various applications into the area of parallel processing.The book starts from the basic concepts of parallel processing, like speedup, efficiency and different parallel architectures, then introduces the most frequently used algorithms for solving PDEs on parallel computers, with practical examples. Finally, it discusses more advanced topics, including different scalability metrics, parallel time stepping algorithms and new architectures and heterogeneous computing networks which have emerged in the last few years of high performance computing. Hundreds of references are also included in the book to direct interested readers to more detailed and in-depth discussions of specific topics.
Author: Craig C. Douglas
Publisher: SIAM
ISBN: 9780898718171
Category : Technology & Engineering
Languages : en
Pages : 153
Get Book Here
Book Description
This compact yet thorough tutorial is the perfect introduction to the basic concepts of solving partial differential equations (PDEs) using parallel numerical methods. In just eight short chapters, the authors provide readers with enough basic knowledge of PDEs, discretization methods, solution techniques, parallel computers, parallel programming, and the run-time behavior of parallel algorithms to allow them to understand, develop, and implement parallel PDE solvers. Examples throughout the book are intentionally kept simple so that the parallelization strategies are not dominated by technical details.
Author: Salim Hariri
Publisher: CRC Press
ISBN: 9780849389863
Category : Computers
Languages : en
Pages : 346
Get Book Here
Book Description
This three-volume work presents a compendium of current and seminal papers on parallel/distributed processing offered at the 22nd International Conference on Parallel Processing, held August 16-20, 1993 in Chicago, Illinois. Topics include processor architectures; mapping algorithms to parallel systems, performance evaluations; fault diagnosis, recovery, and tolerance; cube networks; portable software; synchronization; compilers; hypercube computing; and image processing and graphics. Computer professionals in parallel processing, distributed systems, and software engineering will find this book essential to complete their computer reference library.
Author: Gerard Meurant
Publisher: Elsevier
ISBN: 0080529518
Category : Mathematics
Languages : en
Pages : 777
Get Book Here
Book Description
This book deals with numerical methods for solving large sparse linear systems of equations, particularly those arising from the discretization of partial differential equations. It covers both direct and iterative methods. Direct methods which are considered are variants of Gaussian elimination and fast solvers for separable partial differential equations in rectangular domains. The book reviews the classical iterative methods like Jacobi, Gauss-Seidel and alternating directions algorithms. A particular emphasis is put on the conjugate gradient as well as conjugate gradient -like methods for non symmetric problems. Most efficient preconditioners used to speed up convergence are studied. A chapter is devoted to the multigrid method and the book ends with domain decomposition algorithms that are well suited for solving linear systems on parallel computers.
Author: D.J Evans
Publisher: CRC Press
ISBN: 1000156907
Category : Computers
Languages : en
Pages : 312
Get Book Here
Book Description
Parallel Computing: Methods, Algorithms and Applications presents a collection of original papers presented at the international meeting on parallel processing, methods, algorithms, and applications at Verona, Italy in September 1989.
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 444
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 652
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Differential equations, Partial
Languages : en
Pages : 588
Get Book Here
Book Description
