Metadata-Version: 2.1
Name: GPUDashboard
Version: 0.2.8
Summary: A NVIDIA GPU dashboard
Home-page: https://github.com/Yuan-Yu/GPUDashboard
Author: YuanYu
Author-email: tearsgundam@gmail.com
License: UNKNOWN
Project-URL: Demo, https://yuan-yu.github.io/GPUDashboard/
Project-URL: Bug Reports, https://github.com/Yuan-Yu/GPUDashboard/issues
Project-URL: Source, https://github.com/Yuan-Yu/GPUDashboard
Description: # GPUDashboard
        A simple dashboard for NVIDIA GPU
        ![flowchart](https://github.com/Yuan-Yu/GPUDashboard/blob/master/docs/flowchart.png?raw=true)
        ## Demo
        [Example](https://yuan-yu.github.io/GPUDashboard/)  
        ## Requirement  
        - Python 2.7 or 3.6
        - NVIDIA-sim
        - A Firebase realtime database
        - Linux-like OS  
        
        ## Setup  
        1. Create a [Firebase **Realtime** database](https://console.firebase.google.com/)  
        <img src="https://github.com/Yuan-Yu/GPUDashboard/blob/master/docs/crateDB.png?raw=true" height="150" >   
        
        2. Set the rules to 
        <img src="https://github.com/Yuan-Yu/GPUDashboard/blob/master/docs/chageRule.png?raw=true" height="100" >    
        
        ```json 
        {
          "rules": {
            ".read": true,
            ".write": true
          }
        }
        ```  
        3. Go to Project overview click **Add Firebase to your web app** and copy following part.  
        <img src="https://github.com/Yuan-Yu/GPUDashboard/blob/master/docs/copyConfig.png?raw=true" height="150" >   
        
        ```javascript
          var config = {
            apiKey: "XXXXXXXXXXXXXXXXXXXXXXXXXXXX",
            authDomain: "XXXXX.firebaseapp.com",
            databaseURL: "https://XXXXXX.firebaseio.com",
            projectId: "XXXXXXX",
            storageBucket: "XXXXXXX.appspot.com",
            messagingSenderId: "XXXXXXXXXXX"
          };
        ```  
        4. **On the servers** that have NVIDIA GPU(s) installed.  
        ```bash
        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.**  
          
        5. Download [ViewStatus.html](https://raw.githubusercontent.com/Yuan-Yu/GPUDashboard/master/ViewStatus.html) and open with text editor then replace the "config".  
        ```html
        <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"/>
        ```  
        6. Open the "**modified** ViewStatus.html" with browser.
        
Keywords: GPU Dashboard
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
