Synopses & Reviews
Synopsis
To help social scientists actually make use of the glut of data now flooding developed countries, geographers (U. of Leeds) Openshaw and Turton offer a non-technical introduction to high-performance computing applications and advice on how beginners can start to write parallel programs, especially those to be used in geographical information systems. They present case studies from geography to demonstrate the key principles and clarify the logic and thought processes that lie behind parallel programming. Their concern is with the art rather than the science of parallel programming, which is usually embedded in computer jargon.
Synopsis
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.
Description
Includes bibliographical references (p. [277]-282) and index.