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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Installing the GPU drivers
If you already have drivers for your GPU installed, you may possibly skip this step; moreover, some versions of CUDA are pre-packaged with the latest drivers. Quite often, CUDA is very particular about which driver you have installed and may not even work with the CUDA Toolkit driver, so you may have to experiment with several different drivers before you find one that works.
Generally speaking, Windows has better CUDA driver compatibility and a more user-friendly installation than Linux. Windows users may consider skipping this step and just use the driver that is packaged with the CUDA Toolkit, which we will install a little later in this chapter. We would strongly suggest that Linux users (particularly Linux ...
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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.