CUDA Programming

A Developer's Guide to Parallel Computing with GPUs

By: Shane Cook

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Paperback | 13 November 2012 | Edition Number 1

At a Glance

Paperback
592 Pages

Dimensions(cm)
23.5 x 19.05 x 2.54

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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 grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.

Comprehensive introduction to parallel programming with CUDA, for readers new to both

Detailed instructions help readers optimize the CUDA software development kit

Practical techniques illustrate working with memory, threads, algorithms, resources, and more

Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets

Each chapter includes exercises to test reader knowledge

Industry Reviews

"I must mention chapters 7, which deals with the practicalities of using the SDK, and 9, which offers advice and a detailed breakdown of areas that can limit the performance of a CUDA application. Together, these chapters transform this good book into the kind of excellent text that all CUDA developers can find useful, regardless of their relative experience."--ComputingReviews.com, July 12, 2013 "This book is one of the most comprehensive on the subject published to date.it will guide those acquainted with GPU/CUDA from other books or from NVIDIA product documentation through the optimization maze to efficient CUDA/GPU coding."--ComputingReviews.com, April 25, 2013

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You Can Find This Book In

Non-Fiction Engineering & Technology Technology in General Computing & I.T.Computer Science Computer Architecture & Logic Design Parallel Processing Computer Programming & Software Development Software Engineering

Introduction to the GPU Revolution
Understanding Parallelism for the GPU
Understanding the CUDA hardware
Setting up CUDA
Grids, Blocks and Threads
Memory Usage - The Key to Performance
Using CUDA in practice
The Multi-GPU Approach
Optimizing your application
A practical example using DCT (JPEG) compression
Hardware revisions and what they mean for programming
CUDA SDK and Libraries
Building GPU based servers
Common Problems, Causes and Solutions
Bibliography and Further Reading Resources
Table of Contents provided by Publisher. All Rights Reserved.

CUDA Programming

A Developer's Guide to Parallel Computing with GPUs

At a Glance

Paperback

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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