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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." (paraphrazed from https://en.wikipedia.org/wiki/HAL_9000)

In your publications and presentations that use results obtained on this system, please include the following statement: “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”.


Hardware-Accelerated Learning (HAL) cluster



Host name: hal.ncsa.illinois.edu

Hardware

Software

Documentation

To request access: fill out this form. Make sure to follow the link on the application confirmation page 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/

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

To connect to the cluster:

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

To submit interactive job:

Code Block
languagebash
swrun -p gpux1

To submit a batch job:

Code Block
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:

Code Block
module load wmlce

To see CLI scheduler status:

Code Block
swqueue



Main -> Systems -> HAL

Contact us

Request access to this system: Application

Contact ISL staff: Email Address

Visit: NCSA, room 3050E