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For proper citation of the HPC infrastructure, see the [[Capabilities#Citations to HPC infrastructure|citations page]]. | |||
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The HPC is expected to be fully operational on April 1, 2017, and will include the following capabilities: | The HPC is expected to be fully operational on April 1, 2017, and will include the following capabilities: | ||
Revision as of 10:37, 3 May 2017
High Performance Computing at USM
Hayden the Polar bear Cub says, "Submit that job so we can go play in the snow!"
Available documentation
To find information use the search box on the top right corner of the screen, or categorically browse the wiki using the Documentation topic links provided below.
Documentation topics
For proper citation of the HPC infrastructure, see the citations page.
Capabilities
The HPC is expected to be fully operational on April 1, 2017, and will include the following capabilities:
Hardware
- 2500+ compute cores
- 5 High memory nodes (512 GB RAM per node)
- 4GB per core on normal compute nodes
- Rapid temporary filesystem for application execution
- Network attached storage for data archiving
Software
- (See Software page for detailed information)
- Intel and GNU Fortran, C, and C++ compilers
- Other software can be installed upon request
DataSpace digital archive
- (See DataSpace for more information)
- Archive for raw data, documents, theses & dissertations
- Front-end for searching/processing data
Funding
Support for this project was provided by the National Science Foundation under the Major Research Instrumentation (MRI) program via Grant # ACI 1626217
Citations to HPC infrastructure
Please reference USM HPC in any research report, journal or publication. The recognition of the resources you used to perform research is important for acquiring funding for the next generation hardware, support services, and our Research & Development activities in HPC, visualization, data storage, and grid infrastructure.
The suggested content of a citation is:
- The authors acknowledge HPC at The University of Southern Mississippi
- supported by the National Science Foundation under the Major Research
- Instrumentation (MRI) program via Grant # ACI 1626217.
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