'… it's one of those books that I wish I'd read earlier in my programming career. I found many design patterns familiar simply because I'd seen them before in my own code. I'll likely turn to this book in the future whenever I suspect a program design problem might be solved already.' Computing in Science and Engineering

'Scientific software must be consciously designed to grow with a research program and the hardware that supports the research program. And how to do that is precisely what these authors in this book have shown.' Scientific Programming

The authors analyze how the structure of a package determines its developmental complexity according to such measures as bug search times and documentation information content. The work presents arguments for why these issues impact solution cost and time more than does scalable performance. The final chapter explores the question of scalable execution and shows how scalable design relates to scalable execution. The book's focus is on program organization, which has received considerable attention in the broader software engineering community, where graphical description standards for modeling software structure and behavior have been developed by computer scientists. These discussions might be enriched by engineers who write scientific codes. This book aims to bring such scientific programmers into discussion with computer scientists. The authors do so by introducing object-oriented software design patterns in the context of scientific simulation.
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Preface; Part I. The Tao of Scientific OOP: 1. Development costs and complexity; 2. The object-oriented way; 3. Scientific OOP; Part II. SOOP to Nuts and Bolts: 4. Design patterns basics; 5. The object pattern; 6. The abstract calculus pattern; 7. The strategy and surrogate patterns; 8. The puppeteer pattern; 9. Factory patterns; Part III. Gumbo SOOP: 10. Formal constraints; 11. Mixed-language programming; 12. Multiphysics architectures.
Les mer
'… it's one of those books that I wish I'd read earlier in my programming career. I found many design patterns familiar simply because I'd seen them before in my own code. I'll likely turn to this book in the future whenever I suspect a program design problem might be solved already.' Computing in Science and Engineering
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This book concerns software design, focusing on scalable design. It is designed for engineers who write scientific programs.

Produktdetaljer

ISBN
9780521888134
Publisert
2011-04-29
Utgiver
Vendor
Cambridge University Press
Vekt
920 gr
Høyde
254 mm
Bredde
178 mm
Dybde
24 mm
Aldersnivå
P, U, 06, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
406

Biographical note

Damian Rouson is currently the manager of the Reacting Flow Research Department at Sandia National Laboratories. He was formerly Section Head of the US Navy Research Laboratory Division of Combustion Science and Modeling. He was Assistant Professor of Engineering at the City University of New York and Visiting Assistant Professor at the University of Maryland. Damian Rouson received his Masters and Ph.D. in Mechanical Engineering from Stanford University. Dr Jim Xia is currently a software designer and tester at the IBM Test Laboratory in Markham, Ontario, Canada. He received his Ph.D. in Physics from the University of Western Ontario in 1997. Dr Xiaofeng Xu is currently a Software Analyst at General Motors Corp. in Pontiac, Michigan. In this job, he performs airflow and combustion CFD analysis to support base engine designs. He received his Ph.D. in Mechanical Engineering (2003) from Iowa State University in Ames, IA and is the author or co-author of 39 refereed publications.