Numerical computations with GPUs

Research output: Book/ReportBook

Abstract

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.

Original languageEnglish (US)
PublisherSpringer International Publishing
Number of pages405
ISBN (Electronic)9783319065489
ISBN (Print)9783319065472
DOIs
StatePublished - Jan 1 2014

Fingerprint

Numerical methods
Graphics processing unit
Computer programming
Linear equations
Parallel algorithms
Fast Fourier transforms
Computer science
Students

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Numerical computations with GPUs. / Kindratenko, Volodymyr.

Springer International Publishing, 2014. 405 p.

Research output: Book/ReportBook

Kindratenko, Volodymyr. / Numerical computations with GPUs. Springer International Publishing, 2014. 405 p.
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