Solving Linear Systems on Vector and Shared Memory Computers
Society for Industrial & Applied Mathematics,U.S. (Publisher)
Published on 1. December 1990
Book
Paperback/Softback
266 pages
978-0-89871-270-4 (ISBN)
Article exhausted; check for reprint
Description
The recent availability of advanced architecture computers has had a very sigificant impact on all spheres of scientific computation including algorithm research and software development in numerical linear algebra. Major elements of these new computers and recent developments in linear equation algorithms for dense and sparse matrices that are designed to exploit these elements are discussed here. Many techniques and current understandings about solving systems of linear equations on vector and shared-memory parallel computers are documented and unified, providing a fast entrance to the world of vector and parallel processing for these linear algebra applications. This book is both a reference and a supplemental teaching text on aspects of scientific computation for use by graduate students, researchers working in computational science, and numerical analysts.
More details
Language
English
Place of publication
New York
United States
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 250 mm
Width: 170 mm
ISBN-13
978-0-89871-270-4 (9780898712704)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Jack J. Dongarra | Iain S. Duff | Danny C. Sorenson
Numerical Linear Algebra for High-Performance Computers
Book
11/1998
Society for Industrial & Applied Mathematics,U.S.
€69.00
Article not available at the moment
Persons
Author
Visiting Professor, University of Strathclyde
Professor of Mathematical Sciences, Rice University, USA
Professor of Numerical Analysis, Mathematical Department, Utrecht University, Netherlands
Content
Vector and parallel processing; overview of current high-performance computers; implementation details and overhead; performance - analysis, modeling and measurements; building blocks in linear algebra; direct solution of sparse linear systems; iterative solution of sparse linear systems. Appendices: acquiring mathematical software; information on various high-performance computers; level 1,2, and 3 BLAS quick reference; operation counts for various BLAS and decompositions.