How To Use Durham TITAN Server

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How to use the Durham server

The durham server contains a Titan X which is the most powerful GPU we have. Multiple users can be logged in at once however it will slow the performance of the GPU.


1. ssh into the machine:

 ssh net-id@du310-06.ece.iastate.edu
  • Make sure you are on the iastate VPN if not on campus
  • Replace net-id with your id

2. Install keras/tensorflow/opencv locally run:

 pip install --user opencv-python keras tensorflow-gpu
  • Only need to install once.

3. Set up environment variable, run:

 source cuda_env.sh
  • replace 'env' with the proper environment type, either tcsh or bash.
  • The tcsh source file can be downloaded by clicking here
  • The bash source file can be downloaded by clicking here
  • If you run the source file and the environment does not setup properly, try the other file

4. Run your python code!!

  • IF YOUR PYTHON CODE WILL NOT RUN, WE ARE CURRENTLY LOOKING INTO THE ISSUE AND WILL POST A SOLUTION WHEN WE FIND ONE

5. exit the ssh session:

 exit

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