July 2017
Intermediate to advanced
244 pages
6h 33m
English
Content preview from Mastering C++ Multithreading
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Summary
In this chapter, we looked at how to integrate GPGPU processing into a C++ application in the form of OpenCL. We also looked at the GPU memory hierarchy and how this impacts performance, especially in terms of host-device communication.
You should now be familiar with GPGPU implementations and concepts, along with how to create an OpenCL application, and how to compile and run it. How to avoid common mistakes should also be known.
As this is the final chapter of this book, it is hoped that all major questions have been answered, and that the preceding chapters, along with this one, have been informative and helpful in some fashion.
Moving on from this book, the reader may be interested in pursuing any of the topics covered in more ...
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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.