November 2018
Intermediate to advanced
310 pages
7h 54m
English
Content preview from Hands-On GPU Programming with Python and CUDA
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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.
Who this book is for
This book is aimed at one person in particular—that is, myself in the year 2014, when I was trying to develop a GPU-based simulation for my doctoral studies in math. I was poring over multiple books and manuals on GPU programming, trying to make the slightest sense of the field; most texts seemed happy to throw an endless parade of hardware schematics and buzzwords at the reader on every page, while the actual programming took a back seat.
This book is primarily aimed at those who want to actually do GPU programming, but without getting bogged down with gritty technical details and hardware schematics. We will program the GPU in proper C/C++ (CUDA C) in this text, but we will write it inline within Python code by way ...
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