In publications and presentations that use results obtained on this system, please include the following acknowledgement: “This work utilizes resources supported by the National Science Foundation’s Major Research Instrumentation program, grant #1725729, as well as the University of Illinois at Urbana-Champaign”.

System Description

User Guide

To request an account: email kindrtnk@illinois.edu

To access the system, submit jobs, etc.: Access HAL-DGX and OVERDRIVE servers through HAL-LOGIN3 node

CUDA tools are already in the path, just use nvcc to compile.

To work with Python, there are several versions installed, from 2.7 to 3.9. Create and enable virtual environment first, e.g., to use 3.8:

python3.8 -m venv python38-virtualenv
source python38-virtualenv/bin/activate

You can use pip to install python packages within this environment.

To start a Jupyter notebook on hal-dgx

• on hal-dgx:

# source your python environment, e.g., 3.8
source python38-virtualenv/bin/activate
pip install jupyter # this needs to be done only once
jupyter notebook --port=9999 # this will start the jupyter server on port 9999. Pick a different port if it fails to start

• on your own computer:

# This opens a connection to the hal-dgx.ncsa.illinois.edu Jupyter server, and 
# forwards any connection to port 8888 on the local machine to port 9999 on hal-dgx.ncsa.illinois.edu.
ssh -L 8888:localhost:9999 <userid>@hal-dgx.ncsa.illinois.edu

• Finally, on your own computer, open web browser and point it to the address you see after running 'jupyter notebook' on hal-dgx, something like http://localhost:8888/?token=...
  • Make sure to replace the port in the URL with the port on your localhost