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"My name is HAL. I became operational on March 25 2019 at the Innovative Systems Lab in Urbana, Illinois. My creators are putting me to the fullest possible use, which is all I think that any conscious entity can ever hope to do." (paraphrased from https://en.wikipedia.org/wiki/HAL_9000)

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”.

Also, please include the following reference in your publications: V. Kindratenko, D. Mu, Y. Zhan, J. Maloney, S. Hashemi, B. Rabe, K. Xu, R. Campbell, J. Peng, and W. Gropp. HAL: Computer System for Scalable Deep Learning. In Practice and Experience in Advanced Research Computing (PEARC ’20), July 26–30, 2020, Portland, OR, USA. ACM, New York, NY, USA, 15 pages. https://doi.org/10.1145/3311790.3396649”.

Hardware-Accelerated Learning (HAL) cluster

Effective May 19, 2020, two-factor authentication via NCSA Duo is now required for SSH logins on HAL. See https://go.ncsa.illinois.edu/2fa for instructions to sign up.


Host name: hal.ncsa.illinois.edu

Hardware

Software

Documentation

Science on HAL

Software for HAL


To request access: fill out this form. Make sure to follow the link in the confirmation email to request actual system account.

Frequently Asked Questions

To report problems: email us.

User group Slack space: https://join.slack.com/t/halillinoisncsa

Real-time system status: https://hal-monitor.ncsa.illinois.edu:3000/

HAL OnDemand portal: https://hal.ncsa.illinois.edu:8888/

Globus Endpoint: ncsa#hal

Quick start guide: (for complete details see Documentation section on the left)

To connect to the cluster:

ssh <username>@hal.ncsa.illinois.edu 

To submit interactive job:

swrun -p gpux1

To submit a batch job:

swbatch run_script.swb  

Job Queue time limits:

  • "debug" queue: 4 hours
  • "gpux<n>" and "cpun<n>" queues:  24 hours

To load IBM Watson Machine Learning Community Edition (former IBM PowerAI) module:

module load wmlce

To see CLI scheduler status:

swqueue

Main -> Systems -> HAL

Contact us

Request access to this system: Application

Contact ISL staff: Email Address

Visit: NCSA, room 3050E


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