September 2018
Intermediate to advanced
380 pages
9h 40m
English
Content preview from Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
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Thread-related properties
As seen in earlier sections, blocks and threads can be multidimensional. So, it would be nice to know how many threads and blocks can be launched in parallel in each dimension. There is also a limit on the number of threads per multiprocessor and the number of threads per block. This number can be found by using the maxThreadsPerMultiProcessor and the maxThreadsPerBlock. It is very important in the configuration of kernel parameters. If you launch more threads per block than the maximum threads possible per block, your program can crash. The maximum threads per block in each dimension can be identified by the maxThreadsDim. In the same way, the maximum blocks per grid in each dimension can be identified by using ...
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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.