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Owens Information Transition

Owens cluster will be decommissioned on February 3, 2025. Some pages may still reference Owens after Owens is decommissioned , and we are in the process of gradually updating the content. Thank you for your patience during this transition

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Ascend, Owens, Pitzer

This HOWTO will demonstrate how to lower ones' disk space usage. The following procedures can be applied to all of OSC's file systems.

We recommend users regularly check their data usage and clean out old data that is no longer needed.

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Changes to HPC systems are listed below, optionally filtered by system.

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Owens

Search our client documentation below, optionally filtered by one or more systems.

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Cardinal

This documentation is to discuss how to run STAR-CCM+ to STAR-CCM+ Coupling simulation in batch job at OSC. The following example demonstrates the process of using STAR-CCM+ version 11.02.010 on Cardinal. Depending on the version of STAR-CCM+ and cluster you work on, there mighe be some differences from the example. Feel free to contact OSC Help if you have any questions. 

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Cardinal, Owens, Pitzer

Darshan is a lightweight "scalable HPC I/O characterization tool".  It is intended to profile I/O by emitting log files to a consistent log location for systems administrators, and also provides scripts to create summary PDFs to characterize I/O in MPI-based programs.

Availability and Restrictions

Versions

The following versions of Darshan are available on OSC clusters:

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Cardinal, Owens, Pitzer

Apache Spark is an open source cluster-computing framework originally developed in the AMPLab at University of California, Berkeley but was later donated to the Apache Software Foundation where it remains today. In contrast to Hadoop's disk-based analytics paradigm, Spark has multi-stage in-memory analytics. Spark can run programs up-to 100x faster than Hadoop’s MapReduce in memory or 10x faster on disk. Spark support applications written in python, java, scala and R

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Owens, Pitzer

Problem Description

Our current GPFS file system is a distributed process with significant interactions between the clients. As the compute nodes being GPFS flle system clients, a certain amount of memory of each node needs to be reserved for these interactions. As a result, the maximum physical memory of each node allowed to be used by users' jobs is reduced, in order to keep the healthy performance of the file system. In addition, using swap memory is not allowed.  

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Wednesday, October 5th

3:00 - 5:00 pm

Allocations Committee Meeting (members only)

6:00 - 7:30 pm

SUG Executive Meeting (members only)                           

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Wednesday, October 5th

3:00 - 5:00 pm

Allocations Committee Meeting (members only)

6:00 - 7:30 pm

SUG Executive Meeting (members only)                           

Read more

SIMCenter Project Codes

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