May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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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.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.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.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.
GPU-programmable platforms
Since our primary subject is GPU computing, it is essential that we learn the fundamentals of GPU programming from a computing perspective. GPU programming is the foundation of GPU computing. The question that should be pondered upon here, is why is it significant in GPU computing? To know the answer, let's first understand the basic differences between programming and computing. Here is a short comparison:
|
Programming |
Computing |
|
Involves developing programs. |
Involves performing computations through programs. |
|
Intends to solve multiple problems in a generalized manner. |
Focused on solving a single problem that can be interdisciplinary in nature. |
|
Programming is applied to broader scenarios. |
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