The Art of High Performance Computing for Computational Science, Vol. 1

Techniques of Speedup and Parallelization for General Purposes

Editors: Geshi, Masaaki (Ed.)

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  • Provides basic and practical techniques for parallel computing and numerical analysis
  • Is suitable for researchers who conduct numerical calculation and simulation and develop software programs
  • Includes many exercises to help readers gain a better understanding
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  • ISBN 978-981-13-6194-4
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About this book

This book provides basic and practical techniques of parallel computing and related methods of numerical analysis for researchers who conduct numerical calculation and simulation. Although the techniques provided in this book are field-independent, these methods can be used in fields such as physics, chemistry, biology, earth sciences, space science, meteorology, disaster prevention, and manufacturing. In particular, those who develop software code in these areas will find this book useful. The contents are suitable for graduate students and researchers in computational science rather than novices at programming or informed experts in computer science.

Starting with an introduction to the recent trends in computer architecture and parallel processing, Chapter 1 explains the basic knowledge of speedup programs with simple examples of numerical computing. Chapters 2 – 4 detail the basics of parallel programming, the message passing interface (MPI), and OpenMP and discuss hybrid parallelization techniques. Showing an actual example of adaptation, Chapter 5 gives an overview of performance tuning and communication optimizations. To deal with dense matrix calculations, Chapter 6 details the basics and practice of linear algebra calculation libraries BLAS and LAPACK, including some examples that can be easily reproduced by readers using free software. Focusing on sparse matrix calculations, Chapter 7 explains high performance algorithms for numerical linear algebra. Chapter 8 introduces the fast Fourier transform in large-scale systems from the basics. Chapter 9 explains optimization and related topics such as debug methods and version control systems. Chapter 10 discusses techniques for increasing computation accuracy as an essential topic in numerical calculation.

This is the first of the two volumes that grew out of a series of lectures in the K computer project in Japan. The second volume will focus on advanced techniques and examples of applications in materials science.

About the authors

Masaaki Geshi is an associate professor in the Institute for NanoScience Design at Osaka University. He received a Ph.D. in science from Kanazawa University in 2000. His research interests include materials design from first-principles calculations, design of the synthesis process of new materials, and high-pressure physics.

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-981-13-6194-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for USA in USD
  • ISBN 978-981-13-6193-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
The Art of High Performance Computing for Computational Science, Vol. 1
Book Subtitle
Techniques of Speedup and Parallelization for General Purposes
Editors
  • Masaaki Geshi
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-6194-4
DOI
10.1007/978-981-13-6194-4
Hardcover ISBN
978-981-13-6193-7
Edition Number
1
Number of Pages
IX, 219
Number of Illustrations
80 b/w illustrations, 39 illustrations in colour
Topics