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Springer Numerical Computations with GPUs - Springer Computing

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Description

Numerical Computations with GPUs is a comprehensive resource that brings together cutting-edge research on adapting numerical methods for Graphics Processing Units. This Springer publication explains how classic numerical methods, including solution of linear equations and FFT algorithms, have been successfully adapted for massively parallel GPU architectures. The volume consolidates recent research and practical adaptations, focusing on widely used computational methods that form the foundation of scientific and engineering work. Written by leading experts in GPU computing, each chapter provides essential mathematical background, parallel algorithms, and detailed implementation guidance for practitioners seeking to optimise their numerical computations on modern GPU hardware.

Key Features

Covers adaptation of classic numerical methods including linear equation solvers and FFT for GPU architectures.

Authored by leading experts who provide mathematical foundations alongside parallel algorithm design.

Focuses on methods central to scientific and engineering computations across multiple domains.

Includes detailed implementation guidance for deploying numerical computations on massively parallel GPU systems.

Consolidates recent GPU computing research into a single comprehensive Springer publication.

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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