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Hyak: HPC at the College of the Environment

All users please read the Hyak User Agreement before continuing.

OVERVIEW 

HYAK is the name of a UWIT operated integrated, shared scalable, scientific super-computer that uses the Lolo archive system and a high-performance research network. “Shared” means that while groups purchase their own nodes and group members have priority use for those nodes, the nodes become available to anyone with a Hyak account when they are idle.  

KLONE 

Klone Hyak is the third generation Hyak high performance compute (HPC) cluster. Klone nodes run Rocky 8 Linux and currently hosts over 18,000 compute cores for use by UW researchers. The UW Research Computing group maintains comprehensive documentation on the Hyak cluster at https://hyak.uw.edu/docs 

Node Types 

There are 2 main types of Hyak nodes: 

  • Login 
  • Compute

When you first ssh into KLONE (e.g., klone.hyak.uw.edu) you land on one of the two login nodes (i.e., klone1, klone2). Login nodes are shared amongst all users to transfer data, navigate the file system, and request resource slices to perform heavy duty computing. You should not use login nodes for heavy compute and automated mechanisms exist to monitor and enforce violations. 

Login Node 

  • Shell prompt looks like [UWNetID@klone1 ~]$ 
  • The first node you encounter upon logging in. 
  • For file transfers and manipulation. 
  • This node has internet connectivity. 
  • To submit jobs from the login node, see 5.  The Klone Job Scheduler 

Compute Node 

  • Build nodes have been removed in Klone, use any compute node available to your group to compile code 
  • Compute nodes have limited internet access and should not be used for data transfers 
  • Can be used to run interactive or batch-mode compute jobs see Hyak: Scheduling Jobs 

Further Resources

Help is only a click away.  Here are some common Help & Resource avenues you may want to pursue. 

Hyak-users Mailman list. 

The UW maintains a Mailman Email List for Hyak Users. 

The UW Research Computing Hyak Documentation 

The Research Computing group have published detailed documentation on the usage of the Hyak Klone compute cluster at https://hyak.uw.edu/docs/ 

Helpful Hyak Commands 

groups # shows you the groups you belong too in Hyak. 
hyakalloc # shows you have much memory is available for each node 
saact # to find specifics about your job.