Owens

Technical Specifications

The following are technical specifications for Owens.  

Number of Nodes

824 nodes

Number of CPU Sockets

1,648 (2 sockets/node)

Number of CPU Cores

23,392 (28 cores/node)

Cores Per Node

28 cores/node (48 cores/node for Huge Mem Nodes)

Local Disk Space Per Node

~1,500GB in /tmp

Amber 16 now available

Date: 
Friday, July 29, 2016 - 4:15pm
System(s): 

Amber 16 has been installed on the OSC clusters; usage is via the module amber/16. For information on available executables and installation details see the software page for Amber or the output of the module help command, e.g.: module help amber/16.  On August 15, 2016 Amber 16 will be made the default amber module.

Owens

As of Monday, Jan. 6, 2025, the Owens high performance computing (HPC) cluster has been partially decommissioned. OSC has moved two-thirds of the regular compute nodes and one-half of the GPU nodes (a total of about 60% of the cluster cores) on the Owens cluster offline. The remainder of the Owens nodes will power down on Monday, Feb. 3, 2025.
TIP: Remember to check the menu to the right of the page for related pages with more information about Owens' specifics.

OSC's Owens cluster being installed in 2016 is a Dell-built, Intel® Xeon® processor-based supercomputer.

2024_0903 Owens Cluster Graphic Update.png


Training

OSC offers online and in-person training for new and advanced users on a variety of high performance supercomputing topics.

New! Online Training Courses

OSC has partnered with The Ohio State University to offer online training courses that clients can complete at their own pace at any time on the ScarletCanvas platform, Ohio State's public learning management system.

The available courses are:

Monitoring and Managing Your Job

Several commands allow you to check job status, monitor execution, collect performance statistics or even delete your job, if necessary.

Status of queued jobs

There are many possible reasons for a long queue wait — read on to learn how to check job status and for more about how job scheduling works.

squeue

Use the squeue command to check the status of your jobs, including whether your job is queued or running and information about requested resources. If the job is running, you can view elapsed time and resources used.

Software List

Ohio Supercomputer Center (OSC) has a variety of software applications to support all aspects of scientific research. We are actively updating this documentation to ensure it matches the state of the supercomputers. This page is currently missing some content; use module spider on each system for a comprehensive list of available software.

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