Capabilities: Difference between revisions
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=Capabilities= | =Capabilities= | ||
The HPC, fully operational on September 5, 2017, | The HPC, fully operational on September 5, 2017, includes the following capabilities: | ||
==Hardware== | ==Hardware== | ||
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* 7168 CUDA cores | * 7168 CUDA cores | ||
* 4 High memory nodes (512 GB RAM per node) | * 4 High memory nodes (512 GB RAM per node) | ||
* | * 20 cores, and 6 GB RAM per core on normal compute nodes | ||
* Rapid temporary filesystem (LUSTRE) for application execution | * Rapid temporary filesystem (LUSTRE) for application execution | ||
* Network attached storage for data archiving | * Network attached storage for data archiving | ||
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Support for this project was provided by the National Science Foundation under the Major Research Instrumentation (MRI) program via Grant # ACI 1626217 | Support for this project was provided by the National Science Foundation under the Major Research Instrumentation (MRI) program via Grant # ACI 1626217 | ||
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Latest revision as of 13:02, 8 November 2019
Capabilities
The HPC, fully operational on September 5, 2017, includes the following capabilities:
Hardware
- 1896 compute cores
- 7168 CUDA cores
- 4 High memory nodes (512 GB RAM per node)
- 20 cores, and 6 GB RAM per core on normal compute nodes
- Rapid temporary filesystem (LUSTRE) 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
How to Cite the 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.