HPC Clusters on SCINet
| Cluster Name | Location | Login Nodes | Transfer Nodes |
|---|---|---|---|
| Ceres | Ames, IA | ceres.scinet.usda.gov | ceres-dtn.scinet.usda.gov |
| Atlas | Starkville, MS | atlas-login.hpc.msstate.edu | atlas-dtn.hpc.msstate.edu |
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Differences between Ceres and Atlas
This guide lists differences between the Atlas and Ceres clusters to ease transition from one cluster to another.
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SCINet Atlas
External link to the Mississippi State Atlas Guide -
SCINet Ceres
Guide to Ceres -
Cite SCINet
Add the following sentence as an acknowledgment for using CERES as a resource in your manuscripts meant for publication:
“This research used resources provided by the SCINet project and/or the AI Center of Excellence of the USDA Agricultural Research Service, ARS project numbers 0201-88888-003-000D and 0201-88888-002-000D.”
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External computing resources
In addition to the Ceres and Atlas clusters, there are external computing resources available to the SCINet community, including Amazon Web Services, XSEDE, and the Open Science Grid. These resources may be of interest to SCINet users that require:
- very large jobs (either numerous small jobs, or many nodes in parallel)
- special computing hardware requirements (e.g., GPUs, Xeon Phi, extremely-large memory)
- software that isn’t supported on Ceres (e.g., web apps, relational databases, VMs, Hadoop, Spark, certain commercial software)
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SCINet Nomenclature
The software discussed and shown in these user guides is largely open source, can run on a desktop, HPC, or cloud environment, and can be installed with software management systems that support reproducibility (such as Conda, Singularity, and Docker). Below is a quick overview of some of the software, hardware, and confusing nomenclature that is used throughout this site.