Domain-Based Parallelism and Problem Decomposition Methods in Computational Science and Engineering

David E Keyes (u. a.)

ISBN 10: 089871348X / ISBN 13: 9780898713480

Published by Society for Industrial and Applied Mathematics (SIAM), 1995

About this Item

Domain-Based Parallelism and Problem Decomposition Methods in Computational Science and Engineering | David E Keyes (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 1995 | Society for Industrial and Applied Mathematics (SIAM) | EAN 9780898713480 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 135727231

Bibliographic Details

• Title: Domain-Based Parallelism and Problem Decomposition Methods in Computational Science and Engineering
• Publisher: Society for Industrial and Applied Mathematics (SIAM)
• Publication Date: 1995
• Language: English
• ISBN 10: 089871348X
• ISBN 13: 9780898713480
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 228W x 152H x 20D millimeters 228 millimeters width by 152 millimeters height by 20 millimeters depth
• Weight: 585 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This refereed volume arose from the editors' recognition that physical scientists, engineers, and applied mathematicians are developing, in parallel, solutions to problems of parallelization. The cross-disciplinary field of scientific computation is bringing about better communication between heterogeneous computational groups, as they face this common challenge. This volume is one attempt to provide cross-disciplinary communication. Problem decomposition and the use of domain-based parallelism in computational science and engineering was the subject addressed at a workshop held at the University of Minnesota Supercomputer Institute in April 1994. The authors were subsequently able to address the relationships between their individual applications and independently developed approaches.

Book Description

This refereed volume arose from the recognition that scientists, engineers, and mathematicians are independently developing solutions to problems of parallelization. The cross-disciplinary field of scientific computation is bringing about better communication between heterogeneous computational groups, as they face this common challenge. This volume is one attempt to provide cross-disciplinary communication.