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.
Publisher: Springer International Publishing AG
Number of pages: 405
Weight: 6263 g
Dimensions: 235 x 155 x 22 mm
Edition: Softcover reprint of the original 1st ed. 201
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)