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The Art of High Performance Computing for Computational Science, Vol. 1 - Techniques of Speedup and Parallelization for General Purposes (Hardcover, 1st ed. 2019)
Loot Price: R3,281
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The Art of High Performance Computing for Computational Science, Vol. 1 - Techniques of Speedup and Parallelization for General Purposes (Hardcover, 1st ed. 2019)
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Total price: R3,301
Discovery Miles: 33 010
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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.
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