January 2018
Beginner to intermediate
548 pages
12h 11m
English
Content preview from IPython Interactive Computing and Visualization Cookbook - Second EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Writing massively parallel code for NVIDIA graphics cards (GPUs) with CUDA
Graphics Processing Units (GPUs) are powerful processors specialized for real-time rendering. We find GPUs in virtually any computer, laptop, video game console, tablet, or smartphone. Their massively parallel architecture comprises tens to thousands of cores. The video game industry has been fostering the development of increasingly powerful GPUs over the last two decades.
Since the mid-2000s, GPUs are no longer limited to graphics processing. We can now implement scientific algorithms on a GPU. The only condition is that the algorithm follows the SIMD paradigm, where a sequence of instructions is executed in parallel with multiple data. This is called General Purpose ...
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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.