£109.99

Springer - Numerical Computations with GPUs Book

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Description

Explore the intersection of high-performance computing and mathematical theory with Numerical Computations with GPUs by Springer. This volume provides a comprehensive look at how classic numerical methods are adapted for massively parallel GPU architectures. It serves as a consolidated resource for researchers and engineers looking to understand the transition of core scientific computations to modern hardware. By focusing on widely used methods like FFT and the solution of linear equations, this book addresses the fundamental needs of scientific and engineering workflows. Each chapter is contributed by leading experts who provide the necessary mathematical background alongside parallel algorithms and implementation details. This makes it an essential reference for anyone working to optimize computational efficiency on Graphics Processing Units.

Key Features

Covers the adaptation of classic numerical methods for massively parallel GPU architectures to improve computational speed.

Provides detailed mathematical background and parallel algorithms for core scientific and engineering computations.

Includes expert insights on solving linear equations and Fast Fourier Transforms (FFT) on modern hardware.

Consolidates recent research into a single volume for easier study of GPU-based numerical methods.

Offers practical implementation details written by leading experts in the field of computer science and architecture.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 September 2016
Listed Since
15 September 2016

Barcode

No barcode data available

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