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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: hal-dgx.ncsa.illinois.edu Hardware Software
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User Guide
To request an account: email kindrtnk@illinois.edu
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Use Use |
To access the system, submit jobs, etc.: Access hal-dgx and overdrive with hal-login3 Node
To compile CUDA applications, first enable devtoolset 9
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scl enable devtoolset-9 bash |
To work with Python, create and enable virtual environment first
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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:
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source python3-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:
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# 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=...on hal-dgx, start Jupyter using the port in the previous stepIf the port is taken, repeat and try a different port
Contact us
Request access to ISL resources: Application
Contact ISL staff: Email Address
Visit: NCSA, room 3050E