Difference between revisions of "CCU:GPU Cluster"
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== Overview == | == Overview == | ||
| + | |||
| + | The CCU provides access to state-of-the-art infrastructure for GPU-based machine learning frameworks based on nVidia GPUs. | ||
| + | This page gives a general overview and links to more in-depth tutorials on how to work with the cluster. | ||
| + | There is some overhead involved when writing code for your projects and you have to stick to a few guidelines, | ||
| + | but there are template projects and scripts provided so that you can get started with minimal knowledge about the | ||
| + | technical background of the GPU cluster. | ||
| + | |||
| + | |||
| + | == What you need == | ||
| + | |||
| + | * An account for the CCU. | ||
| + | * Ideally, a desktop PC with an nVidia GPU to test your code before pushing it to the cluster (debugging can otherwise be hard). | ||
| + | * Your PC ideally runs a flavor of Linux, all example scripts were tested against Ubuntu 18.04 (should also work on derivatives, such as Mint 19). | ||
| + | * Admin access to your own PC to install lots of stuff (or a friendly administrator). | ||
| + | * More specific needs will be covered in the in-depth tutorials. | ||
| + | |||
| + | |||
| + | == How to get started == | ||
| + | |||
| + | * Step 1: | ||
Revision as of 19:37, 17 May 2019
Overview
The CCU provides access to state-of-the-art infrastructure for GPU-based machine learning frameworks based on nVidia GPUs. This page gives a general overview and links to more in-depth tutorials on how to work with the cluster. There is some overhead involved when writing code for your projects and you have to stick to a few guidelines, but there are template projects and scripts provided so that you can get started with minimal knowledge about the technical background of the GPU cluster.
What you need
- An account for the CCU.
- Ideally, a desktop PC with an nVidia GPU to test your code before pushing it to the cluster (debugging can otherwise be hard).
- Your PC ideally runs a flavor of Linux, all example scripts were tested against Ubuntu 18.04 (should also work on derivatives, such as Mint 19).
- Admin access to your own PC to install lots of stuff (or a friendly administrator).
- More specific needs will be covered in the in-depth tutorials.
How to get started
- Step 1:
