Numerical Computations with GPUs

Editors: Kindratenko, Volodymyr (Ed.)

  • 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
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eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-06548-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
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  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-06547-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 3, 2016
  • ISBN 978-3-319-37994-4
  • Free shipping for individuals worldwide
About this book

This book brings together research on numerical methods adapted for Graphics Processing Units (GPUs). It explains recent efforts to adapt classic numerical methods, including solution of linear equations and FFT, for massively parallel GPU architectures. This volume consolidates recent research and adaptations, covering widely used methods that are at the core of many scientific and engineering computations. Each chapter is written by authors working on a specific group of methods; these leading experts provide mathematical background, parallel algorithms and implementation details leading to reusable, adaptable and scalable code fragments. This book also serves as a GPU implementation manual for many numerical algorithms, sharing tips on GPUs that can increase application efficiency. The valuable insights into parallelization strategies for GPUs are supplemented by ready-to-use code fragments. Numerical Computations with GPUs targets professionals and researchers working in high performance computing and GPU programming. Advanced-level students focused on computer science and mathematics will also find this book useful as secondary text book or reference.

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)

Table of contents (18 chapters)

  • Accelerating Numerical Dense Linear Algebra Calculations with GPUs

    Dongarra, Jack (et al.)

    Pages 3-28

  • A Guide for Implementing Tridiagonal Solvers on GPUs

    Chang, Li-Wen (et al.)

    Pages 29-44

  • Batch Matrix Exponentiation

    Lopez, M. Graham (et al.)

    Pages 45-67

  • Efficient Batch LU and QR Decomposition on GPU

    Brouwer, William J. (et al.)

    Pages 69-86

  • A Flexible CUDA LU-Based Solver for Small, Batched Linear Systems

    Tumeo, Antonino (et al.)

    Pages 87-101

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-06548-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-06547-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 3, 2016
  • ISBN 978-3-319-37994-4
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Numerical Computations with GPUs
Editors
  • Volodymyr Kindratenko
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-06548-9
DOI
10.1007/978-3-319-06548-9
Hardcover ISBN
978-3-319-06547-2
Softcover ISBN
978-3-319-37994-4
Edition Number
1
Number of Pages
X, 405
Number of Illustrations and Tables
58 b/w illustrations, 49 illustrations in colour
Topics