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

Keyes, David E. [Editor]; Saad, Yousef [Editor]; Truhlar, Donald G. [Editor];

ISBN 10: 089871348X / ISBN 13: 9780898713480

Published by Society for Industrial and Applied Mathematics, 1987

About this Item

Clean, solid copy with no writing, highlighting, marks, or creased page corners. Cover is glossy with very light wear to surface and corner tips. Binding tight and square; no creases to spine or cover. Appears to have had little, if any, use. We are unable to ship oversize books and multi-volume sets internationally.

Seller Inventory # H2170508012

Bibliographic Details

• Title: Domain-Based Parallelism and Problem Decomposition Methods in Computational Science and Engineering
• Publisher: Society for Industrial and Applied Mathematics
• Publication Date: 1987
• Language: English
• ISBN 10: 089871348X
• ISBN 13: 9780898713480
• Binding: Paperback
• Condition: Very Good +
• Dust Jacket Condition: None as issued
• Weight: 20 ounces
• Seller catalogs:
  • Engineering

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.