November 2015
Intermediate to advanced
352 pages
9h 45m
English
book
CUDA for Engineers: An Introduction to High-Performance Parallel Computing
by Mete Yurtoglu, Duane Storti
Content preview from CUDA for Engineers: An Introduction to High-Performance Parallel Computing
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Chapter 8. Using CUDA Libraries
In this penultimate chapter, we take a look at some of the software libraries that are available to provide you with access to CUDA capabilities without having to write all the code yourself. As we tour the libraries, we will explicitly identify some common parallel programming patterns and look at examples illustrating how the libraries make those patterns available for your use. Before we are done, you will see library-based alternative implementations of apps for image processing and computing distances, dot products, and centroids, along with new examples involving Monte Carlo estimation of pi (π), computing distance in image space, and solving systems of linear equations.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.