NOTICE: Multi-factor authentication (MFA) with Duo is still required to access the cluster via Open OnDemand. DO NOT delete your Duo application if you wish to continue to use SSH or the terminal in Open OnDemand.If you are new to HPC, please ensure you have a device enrolled in Duo for MFA. Follow the steps in this knowledge article to enroll your device.
Armis2
Citation / Acknowledgment of Using Armis2 for ResearchResearchers are urged to acknowledge ARC in any publication, presentation, report, or proposal on research that involved ARC hardware (Great Lakes or other resources) and/or staff expertise.“This research was supported in part through computational resources and services provided by Advanced Research Computing at the University of Michigan, Ann Arbor.”
HardwareNode TypeStandardLarge MemoryGPU (TitanV)GPU (V100)GPU (RTX6000 Pro Blackwell)Number of Nodes955311Processors2x 2.5 GHz Intel Haswell (Xeon E5-2680v3)4x 2.2 GHz Intel Westmere (Xeon E7-4850)2x 2.10GHz Intel Broadwell (Xeon E5-2620V4)2x 2.5 GHz Intel Cascade Lake (Xeon Gold 6248)2x AMD EPYC ( 9575F )Cores per Node2
Welcome to using the cluster from the command line where you can do different things than using Open On Demand.
If you are using data types that may need special considerations be sure to visit the Safe Computing Data Guide
Why use the command line?
Open OnDemand is a way for users to run interactive jobs on Great Lakes, Armis2 and Lighthouse. Start computing immediately. A simple interface makes Open OnDemand easy to learn and use. This includes:
PartitionsSlurm partitions represent collections of nodes for a computational purpose, and are equivalent to Torque queues. For more Armis2 hardware specifications, see the Configuration page.Partitions: