Parallel Solution Methods in Computational Mechanics

Papadrakakis, Manolis

ISBN 10: 0471956961 / ISBN 13: 9780471956969

Published by Wiley, 1997

About this Item

Seller Inventory # 24T72_65_0471956961

Bibliographic Details

• Title: Parallel Solution Methods in Computational Mechanics
• Publisher: Wiley
• Publication Date: 1997
• Language: English
• ISBN 10: 0471956961
• ISBN 13: 9780471956969
• Binding: Hardcover
• Condition: new

About this title

Synopsis

This book follows the previously published title, Solving Large-scale Problems in Mechanics, edited by M. Papadrakakis. This first volume to be published in the Wiley Series in Solving Large-scale Problems in Mechanics is devoted to high-performance computing using the new generation of computers with parallel and distributed computing capabilities. Parallel and distributed processing is a rapidly growing area of high technology where engineering applications lagged behind hardware advances. New algorithms and codes are required in order to exploit effectively modern computer architectures, as programs suitable for conventional computers achieve very modest performances on these new machines. There is therefore an urgent need to develop and test powerful solution and data handling techniques capable of exploiting the potential of modern computers and of accomplishing the solution of complex engineering problems in an acceptable computing time. This volume intends capturing the latest developments in the field and to serve as an essential reference book on the subject. It comprises a comprehensive state-of-the-art treatment of theory and practice, illustrated by extensive numerical examples.

From the Publisher

Large-scale problems can only be solved by a certain class of solution methods due to computer storage and time limitations. Made up of thirteen self-contained chapters written by leading researchers, this book deals with recent advances in the solution of large-scale problems in mechanics and contains current, up-to-date material. Readers are shown the most efficient methods such as finite element, multigrid, and meshes to solve a wide range of engineering problems.