June 2019
Intermediate to advanced
218 pages
5h 19m
English
Content preview from Julia High Performance - Second Edition
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Getting started with GPUs
To begin, you'll need a computer with a discrete GPU installed. For the purposes of this chapter, that will mean a GPU manufactured by NVIDIA. While other brands of GPUs are available, support for those is much weaker, both for general scientific programs, and, in particular, in Julia. Hence, we will not have the opportunity to discuss them in this chapter and we limit our focus to NVIDIA GPUs.
Once you have access to a computer with a GPU (whether on your desktop or on the cloud), the first order of business is to install a driver and CUDA toolkit on the machine. The exact instructions will depend on your operating system and the GPU model you use. You will need to ensure that the versions of the device driver ...
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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.
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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.