"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 reference: “Volodymyr Kindratenko, Dawei Mu, Yan Zhan, John Maloney, Sayed Hadi Hashemi, Benjamin Rabe, Ke Xu, Roy Campbell, Jian Peng,and William Gropp. 2020. HAL: Computer System for Scalable Deep Learning. InPractice 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
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. 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:
To submit interactive job:
To submit a batch job:
Job Queue time limits:
To load IBM Watson Machine Learning Community Edition (former IBM PowerAI) module:
To see CLI scheduler status:
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Request access to this system: Application
Contact ISL staff: Email Address
Visit: NCSA, room 3050E