Once that is done, I'll show you how to run Docker containers for the same purpose with the NVIDIA GPU. I'll first show you how to ensure OpenCL works on your main Ubuntu desktop/server. Right on then, let's get to the details! Setting up OpenCL for NVIDIA GPUs Docker (for application specific usage).Ubuntu Linux 20.04.2 LTS Desktop/Server 64 bit.
Though I've used Ubuntu for the host system, the Docker part is applicable to all other Linux distributions. I've worked with both NVIDIA and AMD GPUs and I'm going to show you how you can get them operational with OpenCL in the simplest possible way. In this guide, I'm going to focus on GPUs alone. You can write programs on OpenCL and run them on a variety of devices including CPUs, GPUs, FPGAs and a lot more. Due to its diverse nature of applicabilities across multiple platforms, it is most often referred to as a cross-platform computing language. It is a programming language that can be used across diverse platforms, primarily for accelerated computing. OpenCL is an abbreviated form for "Open Computing Language".
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