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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

Host name:



  • CentOS 7
  • CUDA 11
  • NCCL
  • cuDNN
  • TensorRT

User Guide

To request an account: email


Use /home/<username> for basic stuff only, do not put any code/data here as the /home partition is very small

Use /raid partition for all your data/code. Create a subfolder in this partition for your project and keep your stuff there.

To access the system, submit jobs, etc.: Access hal-dgx and overdrive with hal-login3 Node

To compile CUDA applications, first enable devtoolset 9

Code Block
scl enable devtoolset-9 bash

To work with Python, create and enable virtual environment first

Code Block
python3 -m venv python3-virtualenv
source python3-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:
Code Block
source python3-virtualenv/bin/activate
pip install jupyter # this needs to be done only once
jupyter notebook  # this will start the jupyter server
  • on your own computer:
Code Block
# This opens a connection to the Jupyter server, and 
# forwards any connection to port 8888 on the local machine to port 8888 on
ssh -L 8888:localhost:8888
  • 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=...

Main -> Systems -> DGX A100

Contact us

Request access to ISL resources: Application

Contact ISL staff: Email Address

Visit: NCSA, room 3050E