GPUDashboard
A simple dashboard for NVIDIA GPU
Demo
Requirement
- Python 2.7 or 3.6
- NVIDIA-sim
- A Firebase realtime database
- Linux-like OS
Setup
- Create a Firebase Realtime database
- Set the rules to
{
"rules": {
".read": true,
".write": true
}
}
- Go to Project overview click Add Firebase to your web app and copy following part.
var config = {
apiKey: "XXXXXXXXXXXXXXXXXXXXXXXXXXXX",
authDomain: "XXXXX.firebaseapp.com",
databaseURL: "https://XXXXXX.firebaseio.com",
projectId: "XXXXXXX",
storageBucket: "XXXXXXX.appspot.com",
messagingSenderId: "XXXXXXXXXXX"
};
- On the servers that have NVIDIA GPU(s) installed.
pip install GPUDashboard
GPUDashboard -n your_server_name -i 20 -u your_databaseURL > GPUDashboard.log
# your_server_name is the name you want to give your server e.g. MyFirstServer
# -i is the interval of GPU information updating
# your_databaseURL is the databaseURL obtained froom Firebase as shown above
Now, the server GPU information is post to the firebase. *If you have many servers, all of them can make use of the same database you created in Firebase. You only need to specify different names for "your_server_name" when you start the GPUDashboard in the command line on the different servers.
- Download ViewStatus.html and open with text editor then replace the "config".
<html>
<header>
<script>
var config = {
apiKey: "XXXXXXXXXXXXXXXXXXXXXXXXXXXX",
authDomain: "XXXXX.firebaseapp.com",
databaseURL: "https://XXXXXX.firebaseio.com",
projectId: "XXXXXXX",
storageBucket: "XXXXXXX.appspot.com",
messagingSenderId: "XXXXXXXXXXX"
};
</script>
<link rel="stylesheet" href="https://fonts.googleapis.com/icon?family=Material+Icons"/>
- Open the "modified ViewStatus.html" with browser.
