GPUs on Grid5000: Difference between revisions
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= Compiling examples = | = Compiling examples = | ||
GPU are available in Grenoble, Lyon and Lille. | |||
You can reserve a node with GPU, using OAR GPU property. | |||
{{Term|location=frontend|cmd=<code class="command">oarsub</code> -I -p "GPU='YES'"}} | |||
Please note that Lille GPU are shared between nodes and the oarsub command will differ from Grenoble or Lyon, you can read more about Lille GPU on [[Lille:GPU]] | |||
{{Term|location=frontend|cmd=<code class="command">oarsub</code> -I -p "GPU='SHARED'"}} | |||
Revision as of 17:15, 2 December 2013
Purpose
This page presents how to use GPUs on Grid'5000 and how to install your own NVIDIA drivers and CUDA installation.
In this tutorial, we will first compile and use CUDA examples and in the second part, we will install NVIDIA drivers and compile CUDA 5 from a simple wheezy-x64-base environment.
Pre-requisite
- A basic knowledge of Grid'5000 is require, we suggest you to read Getting Started tutorial first.
- Information about hardware information and GPUs availability can be found on Special:G5KHardware.
Compiling examples
GPU are available in Grenoble, Lyon and Lille.
You can reserve a node with GPU, using OAR GPU property.
|
frontend:
|
oarsub -I -p "GPU='YES'" |
Please note that Lille GPU are shared between nodes and the oarsub command will differ from Grenoble or Lyon, you can read more about Lille GPU on Lille:GPU
|
|
frontend:
|
oarsub -I -p "GPU='SHARED'" |