ITS/High Performance Computing Cluster

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[edit] Overview

ITS has installed and is operating a high performance computing cluster based on Dell PowerEdge servers with Intel Pentium 4 Xeon processors (hardware details). All cluster nodes run Red Hat Enterprise Linux as the operating system. Installation was completed in May 2005 and the cluster is currently available to Case faculty for research purposes. Case faculty members should fill out the application form and email the completed form to its-cluster-admin@case.edu. Please contact Roger.Bielefeld@case.edu with any questions on the account application process.

[edit] Investing in the Cluster

Researchers can participate in the growth of central high performance computing facilities by providing hardware and/or sharing in the software and operational costs. Operation of the facility is guided by the Advisory Committee on Research Computing. Please contact Roger.Bielefeld@case.edu for additional information.

[edit] Research Done on the Cluster

Please take a look at research work and published journal articles that have been accomplished on the Cluster in past years.

[edit] Learning Computational Skills Useful In Research

Faculty in several departments at Case have incorporated materials on computational techniques and skills into their courses. Many faculty are generously offering to open portions of their courses to others on campus with an interest in acquiring those skills. Please see Computational Skills Training Opportunities for more information.


[edit] Cluster Information


[edit] How to Install Specific Third Party packages

[edit] Available Software

[edit] Compilers and Libraries

[edit] MPI Libraries

[edit] Applications


[edit] Related Links


ITS High Performance Cluster Articles
This article is part of the ITS Cluster series of articles
FAQ | Intel compilers | GNU compilers | Portland Group compilers
Intel Math Kernel Library | MINPACK | ScaLAPACK | GSL | FFTW3 | MPICH | NAG
R | Mathematica | NAMD | GROMACS | Amber | MATLAB
FLUENT | GAMESS | Gaussian | MOLCAS | LAMMPS | APBS
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This page was last modified 13:56, October 16, 2009 by Hadrian Djohari.
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