| Parallel Numerical Algorithms 1997 Edition Contributor(s): Keyes, David E. (Editor), Sameh, Ahmed (Editor), Venkatakrishnan, V. (Editor) |
|
 |
ISBN: 0792342828 ISBN-13: 9780792342823 Publisher: Springer OUR PRICE: $208.99 Product Type: Hardcover - Other Formats Published: January 1997 Annotation: In this volume, designed for computational scientists and engineers working on applications requiring the memories and processing rates of large-scale parallelism, leading algorithmicists survey their own field-defining contributions, together with enough historical and bibliographical perspective to permit working one's way to the frontiers.This book is distinguished from earlier surveys in parallel numerical algorithms by its extension of coverage beyond core linear algebraic methods into tools more directly associated with partial differential and integral equations - though still with an appealing generality - and by its focus on practical medium-granularity parallelism, approachable through traditional programming languages. Several of the authors used their invitation to participate as a chance to stand back and create a unified overview, which nonspecialists will appreciate. |
| Additional Information |
| BISAC Categories: - Computers | Hardware - Mainframes & Minicomputers - Computers | Programming - Algorithms - Computers | Systems Architecture - General |
| Dewey: 004.1 |
| LCCN: 96038607 |
| Series: Icase Larc Interdisciplinary Science and Engineering |
| Physical Information: 0.94" H x 6.14" W x 9.21" (1.66 lbs) 395 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: In this volume, designed for computational scientists and engineers working on applications requiring the memories and processing rates of large-scale parallelism, leading algorithmicists survey their own field-defining contributions, together with enough historical and bibliographical perspective to permit working one's way to the frontiers. This book is distinguished from earlier surveys in parallel numerical algorithms by its extension of coverage beyond core linear algebraic methods into tools more directly associated with partial differential and integral equations - though still with an appealing generality - and by its focus on practical medium-granularity parallelism, approachable through traditional programming languages. Several of the authors used their invitation to participate as a chance to stand back and create a unified overview, which nonspecialists will appreciate. |