Cantitate/Preț
Produs

High Performance Computing and the Art of Parallel Programming: An Introduction for Geographers, Social Scientists and Engineers

Autor Stan Openshaw, Ian Turton
en Limba Engleză Hardback – 25 noi 1999
This book provides a non-technical introduction to High Performance Computing applications together with advice about how beginners can start to write parallel programs. The authors show what HPC can offer geographers and social scientists and how it can be used in GIS. They provide examples of where it has already been used and suggestions for other areas of application in geography and the social sciences. Case studies drawn from geography explain the key principles and help to understand the logic and thought processes that lie behind the parallel programming.
Citește tot Restrânge

Preț: 198097 lei

Preț vechi: 247622 lei
-20% Nou

Puncte Express: 2971

Preț estimativ în valută:
37918 39759$ 31330£

Carte tipărită la comandă

Livrare economică 29 ianuarie-12 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780415156929
ISBN-10: 0415156920
Pagini: 304
Ilustrații: 29 tables
Dimensiuni: 156 x 234 x 24 mm
Greutate: 0.7 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom

Public țintă

Postgraduate, Professional, and Undergraduate

Cuprins

Chapter 1. High Performance Computing: why bother with it?
Chapter 2. High Performance Computing applications in Geography and GIS
Chapter 3. Parallel and High Performance Computing: Concepts, Principles and Theory
Chapter 4. Types of Parallel Processing Hardware and Programming Paradigms
Chapter 5. Programming Vector Supercomputers
Chapter 6. Shared Loop and Data Parallel Programming
Chapter 7. Parallel Programming using Simple Message Passing
Chapter 8. Parallelising the Geographical Analysis Machine using MPI
Chapter 9. Optimising performance and debugging hints
Chapter 10. Putting it all together
Chapter 11. Epiglogue for Geographical and Social Scientists

Descriere

Concerned with the art rather than the science of Parallel Programming, this volume provides a plain and practical introduction to a subject that has previously been heavily encrypted in computer jargon.