December 2012
Intermediate to advanced
514 pages
13h 6m
English
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Table of Contents
1.1 Heterogeneous Parallel Computing
1.2 Architecture of a Modern GPU
1.3 Why More Speed or Parallelism?
1.4 Speeding Up Real Applications
1.5 Parallel Programming Languages and Models
Chapter 2. History of GPU Computing
2.1 Evolution of Graphics Pipelines
2.2 GPGPU: An Intermediate Step
References and Further Reading
Chapter 3. Introduction to Data Parallelism and CUDA C
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.