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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Appendix D. CUDA Practicalities: Timing, Profiling, Error Handling, and Debugging
This appendix aims to introduce some practical matters you will want to include in your skill set before getting too far along with your own development projects. In particular, we introduce the following:
• Execution timing and profiling
• Error handling
• CUDA debugging tools
Execution Timing and Profiling
When you start creating CUDA programs, you will want to be able to quantify the performance of your code. (If you did not care about performance, it is highly unlikely that you would have gotten started with CUDA.) While you can use the standard C language timing methods, there are some issues with synchronization between the CPU and the GPU, so we will also ...
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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.