July 2011
Intermediate to advanced
648 pages
13h 2m
English
book
OpenCL Programming Guide
by Aaftab Munshi, Benedict R. Gaster, Timothy G. Mattson, James Fung, Dan Ginsburg
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Foreword
During the past few years, heterogeneous computers composed of CPUs and GPUs have revolutionized computing. By matching different parts of a workload to the most suitable processor, tremendous performance gains have been achieved.
Much of this revolution has been driven by the emergence of many-core processors such as GPUs. For example, it is now possible to buy a graphics card that can execute more than a trillion floating point operations per second (teraflops). These GPUs were designed to render beautiful images, but for the right workloads, they can also be used as high-performance computing engines for applications from scientific computing to augmented reality.
A natural question is why these many-core processors are so fast compared ...
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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.