Numerical Computations with GPUs (Paperback, Softcover reprint of the original 1st ed. 2014)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	September 2016
First published:	2014
Editors:	Volodymyr Kindratenko
Dimensions:	235 x 155 x 28mm (L x W x T)
Format:	Paperback
Pages:	405
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-37994-4
Categories:	Books > Computing & IT > General Books > Professional & Technical > Technology: general issues > General Promotions
LSN:	3-319-37994-1
Barcode:	9783319379944

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