GPU Parallel Program Development Using CUDA

GPU Parallel Program Development Using CUDA
Author: Tolga Soyata
Publisher: CRC Press
Total Pages: 477
Release: 2018-01-19
Genre: Mathematics
ISBN: 1498750761


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Provides a comprehensive, class-tested introduction to CUDA and GPU programming Covers CPU programming, parallellism, multi-threading, and other key concepts as a basis for understanding GPU programming Uses Nvidia's new platform based on Amazon EC2 and WebGPU Introduces GPU multi-threading and Global Memory, and the use of atomics and libraries on GPUs Includes example applications


GPU Parallel Program Development Using CUDA
Language: en
Pages: 477
Authors: Tolga Soyata
Categories: Mathematics
Type: BOOK - Published: 2018-01-19 - Publisher: CRC Press

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Provides a comprehensive, class-tested introduction to CUDA and GPU programming Covers CPU programming, parallellism, multi-threading, and other key concepts as
CUDA by Example
Language: en
Pages: 524
Authors: Jason Sanders
Categories: Computers
Type: BOOK - Published: 2010-07-19 - Publisher: Addison-Wesley Professional

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CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Ar
CUDA Programming
Language: en
Pages: 592
Authors: Shane Cook
Categories: Computers
Type: BOOK - Published: 2012-11-13 - Publisher: Newnes

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'CUDA Programming' offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU
Programming Massively Parallel Processors
Language: en
Pages: 519
Authors: David B. Kirk
Categories: Computers
Type: BOOK - Published: 2012-12-31 - Publisher: Newnes

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Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detai
CUDA Programming
Language: en
Pages: 591
Authors: Shane Cook
Categories: Computers
Type: BOOK - Published: 2012-12-28 - Publisher: Newnes

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If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a