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Supercomputer:
We are actively investigating intermittent slowness on the shared /fs/scratch filesystem.
OSC systems staff will execute a rolling reboot across all active compute clusters (Pitzer, Ascend, and Cardinal) beginning Thursday, November 05.
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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.
Ascend, Cardinal, Pitzer
Darshan is a lightweight "scalable HPC I/O characterization tool
Ascend, Cardinal, 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.
Wednesday, October 5th
|
3:00 - 5:00 pm |
Allocations Committee Meeting (members only) |
|
6:00 - 7:30 pm |
SUG Executive Meeting (members only) |
Wednesday, October 5th
|
3:00 - 5:00 pm |
Allocations Committee Meeting (members only) |
|
6:00 - 7:30 pm |
SUG Executive Meeting (members only) |
Owens
The following are technical specifications for Owens.
- Number of Nodes
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824 nodes
- Number of CPU Sockets
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1,648 (2 sockets/node)
- Number of CPU Cores
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23,392 (28 cores/node)
- Cores Per Node
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28 cores/node (48 cores/node for Huge Mem Nodes)
- Local Disk Space Per Node
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~1,500GB in /tmp
Wednesday, April 5th
Ascend, Cardinal, Pitzer
R is a language and environment for statistical computing and graphics. It is an integrated suite of software facilities for data manipulation, calculation, and graphical display. It includes
- an effective data handling and storage facility,
- a suite of operators for calculations on arrays, in particular matrices,
- a large, coherent, integrated collection of intermediate tools for data analysis,
- graphical facilities for data analysis and display either on-screen or on hardcopy, and
- a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input, and output facilities
More information can be found here.
