High Performance Computing in Structural Engineering (Computer Aided Engineering)
| Author | : | |
| Rating | : | 4.96 (731 Votes) |
| Asin | : | 0849320917 |
| Format Type | : | paperback |
| Number of Pages | : | 272 Pages |
| Publish Date | : | 2013-01-23 |
| Language | : | English |
DESCRIPTION:
3 March 2001). 54, No. "Someone actively working in this field would find High-Performance Computing in Structural Engineering useful"This book contains many 'step-by-step' algorithms and numerous high quality figures." --B. . H. Thacker, Applied Mechanics, review (Vol
A nice compendium of algorithms and methods An engineer/mathematician This is a great source book to get a quick entry into the fascinating world of optimization and modeling of complex structures. The book introduces the ideas with the help of very good illustrations and motivates the topic in a logical and coherent fashion. The book treats state of the art topics like parallel vector computation with elegance and clarity. I would recommend this to any engineer with curiosity and most certainly structural engineering professionals. Any engineer can learn from the book how to analyze complex systems.. "Advanced book aimed at coders." according to A. I. Haque. The intended audience for this book are people engaged in writing finite element software for large structures. Some background in numerical analysis and scientific computing required. I would love to teach a graduate course based on some of the information in this book. If you only use software and have no intention of writing it, then this book will not benefit you much.
By extension, High Performance Computing in Structural Engineering will prove equally valuable in distributed computing on a cluster of workstations. They clearly show that adroit and judicious use of vectorization techniques can improved the speedup of an optimization algorithm, and that parallel processing can lead to even further speedup.With its review of the necessary background material, generous illustrations, and unique content, this is the definitive resource for the analysis and optimization of structure on shared-memory multiprocessor computers. However, the development of new computational models and algorithms that exploit the unique architecture of these machines remains a challenge.High Performance Computing in