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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".  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.

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)                           

SIMCenter Project Codes

Cardinal

From WARP3D's webpage:

Owens

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

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.

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