Programming Massively Parallel Processors : A Hands-on Approach

David Kirk, Wen-Mei W. Hwu

ISBN 10: 0123814723 / ISBN 13: 9780123814722

Published by Elsevier LTD, Oxford, 2010

About this Item

Zustand: Sehr gut - Gepflegter, sauberer Zustand. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 256 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 6437667/202

Bibliographic Details

Title: Programming Massively Parallel Processors : ...

Publisher: Elsevier LTD, Oxford

Publication Date: 2010

Binding: Soft cover

Condition: Sehr gut

About this title

Synopsis:

Programming Massively Parallel Processors discusses the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.

This book describes computational thinking techniques that will enable students to think about problems in ways that are amenable to high-performance parallel computing. It utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments. Studies learn how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.

This book is recommended for advanced students, software engineers, programmers, and hardware engineers.

• Teaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing.
• Utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments.
• Shows you how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.

From the Back Cover:

Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.