9780123814722-0123814723-Programming Massively Parallel Processors: A Hands-on Approach

Programming Massively Parallel Processors: A Hands-on Approach

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ISBN-13: 9780123814722
ISBN-10: 0123814723
Edition: 1
Author: David B. Kirk, Wen-mei W. Hwu
Publication date: 2010
Publisher: Morgan Kaufmann
Format: Paperback 280 pages
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Book details

ISBN-13: 9780123814722
ISBN-10: 0123814723
Edition: 1
Author: David B. Kirk, Wen-mei W. Hwu
Publication date: 2010
Publisher: Morgan Kaufmann
Format: Paperback 280 pages

Summary

Programming Massively Parallel Processors: A Hands-on Approach (ISBN-13: 9780123814722 and ISBN-10: 0123814723), written by authors David B. Kirk, Wen-mei W. Hwu, was published by Morgan Kaufmann in 2010. With an overall rating of 4.3 stars, it's a notable title among other Business Technology (Computer Science, Mainframes & Minicomputers, Hardware & DIY, Design & Architecture) books. You can easily purchase or rent Programming Massively Parallel Processors: A Hands-on Approach (Paperback) from BooksRun, along with many other new and used Business Technology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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