Overview
Enriches understanding of numerical methods adapted for GPU architecture
Clarifies the difference between implementation details for individual methods
Provides reusable code fragments that can be used as-is or modified for user-specific applications
Includes supplementary material: sn.pub/extras
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Table of contents (18 chapters)
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Fast Fourier Transform and Localized n-Body Problems
Keywords
About this book
Reviews
From the book reviews:
“This book attempts to provide some guidance for researchers who develop HPC codes and want to run them on GPU-based systems. … The intended readership consists of people who already have a certain amount of experience in working with GPUs … . For readers with such a background, it will prove to be useful reading.” (Kai Diethelm, Computing Reviews, November, 2014)Editors and Affiliations
Bibliographic Information
Book Title: Numerical Computations with GPUs
Editors: Volodymyr Kindratenko
DOI: https://doi.org/10.1007/978-3-319-06548-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-06547-2Published: 18 July 2014
Softcover ISBN: 978-3-319-37994-4Published: 17 September 2016
eBook ISBN: 978-3-319-06548-9Published: 03 July 2014
Edition Number: 1
Number of Pages: X, 405
Number of Illustrations: 58 b/w illustrations, 49 illustrations in colour
Topics: Numeric Computing, Programming Techniques, Computer System Implementation, Mathematical and Computational Engineering, Programming Languages, Compilers, Interpreters