Unstructured Scientific Computation on Scalable Multiprocessors
MIT Press
Published on 1. July 1992
Book
Hardback
425 pages
978-0-262-13272-5 (ISBN)
Description
This book focuses on the implementation of such algorithms on parallel computers, such as hypercubes and the Connection Machine®, that can be scaled up to incredible performances. Unstructured and dynamically varying algorithms are playing an increasingly important role in the solution of large-scale scientific problems on large-scale computers. This book focuses on the implementation of such algorithms on parallel computers, such as hypercubes and the Connection Machine®, that can be scaled up to incredible performances. The algorithms covered include those for partial differential equations and sparse linear algebra.The nineteen contributions describe methods to effectively map fluids and structural mechanics codes that employ unstructured and/or adaptive meshes, scalable algorithms for problems in sparse linear algebra, scalable tools and compilers designed to handle irregular scientific computations, mapping methods for adaptive fast multipole methods, and parallelized grid generation and problem partitioning.
More details
Series
Language
English
Place of publication
Cambridge, Mass.
United States
Publishing group
MIT Press Ltd
Target group
College/higher education
Professional and scholarly
US School Grade: From College Freshman to College Graduate Student
Product notice
Cloth over boards
ISBN-13
978-0-262-13272-5 (9780262132725)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Editor
Incase
Incase
Icase
Thomas M. Siebel ChairUniversity of Illinois Urbana-Champaign
Argonne Distinguished Fellow EmeritusArgonne National Laboratory