High Performance Computing and the Art of Parallel Programming
eBook - ePub

High Performance Computing and the Art of Parallel Programming

An Introduction for Geographers, Social Scientists and Engineers

  1. 304 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

High Performance Computing and the Art of Parallel Programming

An Introduction for Geographers, Social Scientists and Engineers

About this book

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.

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Yes, you can access High Performance Computing and the Art of Parallel Programming by Stan Openshaw,Ian Turton in PDF and/or ePUB format, as well as other popular books in Sciences physiques & Géographie. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2005
eBook ISBN
9781134729715
Edition
1
Subtopic
Géographie

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. List of figures
  7. List of tables
  8. List of appendices
  9. Dedication and acknowledgements
  10. 1 High-performance computing: why bother with it?
  11. 2 High-performance computing applications in geography and GIS
  12. 3 Parallel and high-performance computing: concepts, principles and theory
  13. 4 Types of parallel-processing hardware and programming paradigms
  14. 5 Programming vector supercomputers
  15. 6 Shared-loop and data parallel programming
  16. 7 Parallel programming using simple message passing
  17. 8 Parallelising the geographical analysis machine using MPI
  18. 9 Optimising performance and debugging hints
  19. 10 Putting it all together
  20. 11 Epilogue for geographers and social scientists
  21. References and further reading
  22. Index