HPC Cluster About: Difference between revisions
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ELSA (Electronic Laboratory for Science and Analysis) is TCNJ's heterogeneous High Performance Computing (HPC) cluster named after the famous [[wikipedia:Born_Free|“Born Free”]] lioness and our mascot. | ELSA (Electronic Laboratory for Science and Analysis) is TCNJ's heterogeneous High Performance Computing (HPC) cluster named after the famous [[wikipedia:Born_Free|“Born Free”]] lioness and our mascot. | ||
TCNJ’s High Performance Computing (HPC) Cluster is located in the new STEM Building. The Cluster consists of eight server racks of High-Performance Computing (HPC) equipment housed in a 400 square-foot facility equipped with centralized cooling, power, and backup power. The computing cluster contains 68 nodes, providing 4,000 CPU cores supporting compute, big data and virtualization workloads. A subset of nodes includes a total of 99 graphic processing units for accelerated computing. Approximately six petabytes of network-based storage provide long-term and “scratch” space for data intensive applications. There are six identical storage servers. Three servers are in the STEM cluster room and the others in a dedicated, climate-controlled space in the Green Hall datacenter. Data from the STEM storage server is replicated daily. Cluster node interconnects consist of both 10Gb and 25Gb Ethernet while storage has 100GbE networking. The cluster can support multiple types of workloads including HPC, GPU-based calculations, remote visualization, big data, and virtualization. The cluster is designed, with the aid of open-source orchestration software, to be easily reconfigured to meet the evolving research and pedagogical needs of the faculty and students. | |||
TCNJ’s School of Science employs a full-time, dedicated HPC system administrator who reports directly to the Dean of the School of Science. This administrator oversees the design and implementation of the HPC center. He also works closely with TCNJ’s central IT Division and assists faculty and students on best practices when using available HPC resources. This level of support increases the availability of HPC capabilities to student researchers with limited HPC experience. | |||
== Use Cases == | == Use Cases == | ||
Generally, the HPC cluster is used to run large simulations and process big data that is impractical to do on a desktop workstation or laptop computer. The HPC cluster provides large amounts of memory (RAM), CPU cores (processors), GPUs (specialized computational devices) and permanent storage (disk). | |||
Example areas of faculty and undergraduate research and teaching using the ELSA cluster include: | Example areas of faculty and undergraduate research and teaching using the ELSA cluster include: | ||
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== Contact and Tour Information == | == Contact and Tour Information == | ||
To learn more about the ELSA cluster including how to gain access to this resource as well as scheduling class tours of the cluster, please contact Shawn Sivy in | To learn more about the ELSA cluster including how to gain access to this resource as well as scheduling class tours of the cluster, please contact Shawn Sivy in Physics 108A, ssivy@tcnj.edu, or 609-771-3475. | ||
== Acknowledgements == | == Acknowledgements == | ||
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| [[File:NJ State Seal.png]] || [[File:NSF | | [[File:NJ State Seal.png]] || [[File:NSF Logo.png]] | ||
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The computing hardware comprising the ELSA cluster was provided in part by the State of New Jersey’s Building our Future bond, grants from the National Science Foundation (OAC-1826915 | The computing hardware comprising the ELSA cluster was provided in part by the State of New Jersey’s Building our Future bond, NJ ELF Bond, and grants from the National Science Foundation ([https://www.nsf.gov/awardsearch/showAward?AWD_ID=1826915&HistoricalAwards=false OAC-1826915] and [https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320244 OAC-2320244]). The College of New Jersey and the School of Science gratefully acknowledge their support and partnership. | ||
Latest revision as of 17:08, 18 January 2026
ELSA High Performance Computing Cluster
ELSA (Electronic Laboratory for Science and Analysis) is TCNJ's heterogeneous High Performance Computing (HPC) cluster named after the famous “Born Free” lioness and our mascot.
TCNJ’s High Performance Computing (HPC) Cluster is located in the new STEM Building. The Cluster consists of eight server racks of High-Performance Computing (HPC) equipment housed in a 400 square-foot facility equipped with centralized cooling, power, and backup power. The computing cluster contains 68 nodes, providing 4,000 CPU cores supporting compute, big data and virtualization workloads. A subset of nodes includes a total of 99 graphic processing units for accelerated computing. Approximately six petabytes of network-based storage provide long-term and “scratch” space for data intensive applications. There are six identical storage servers. Three servers are in the STEM cluster room and the others in a dedicated, climate-controlled space in the Green Hall datacenter. Data from the STEM storage server is replicated daily. Cluster node interconnects consist of both 10Gb and 25Gb Ethernet while storage has 100GbE networking. The cluster can support multiple types of workloads including HPC, GPU-based calculations, remote visualization, big data, and virtualization. The cluster is designed, with the aid of open-source orchestration software, to be easily reconfigured to meet the evolving research and pedagogical needs of the faculty and students.
TCNJ’s School of Science employs a full-time, dedicated HPC system administrator who reports directly to the Dean of the School of Science. This administrator oversees the design and implementation of the HPC center. He also works closely with TCNJ’s central IT Division and assists faculty and students on best practices when using available HPC resources. This level of support increases the availability of HPC capabilities to student researchers with limited HPC experience.
Use Cases
Generally, the HPC cluster is used to run large simulations and process big data that is impractical to do on a desktop workstation or laptop computer. The HPC cluster provides large amounts of memory (RAM), CPU cores (processors), GPUs (specialized computational devices) and permanent storage (disk).
Example areas of faculty and undergraduate research and teaching using the ELSA cluster include:
- Applied Mathematics
- Astrophysics
- Big Data
- Biochemistry
- Biophysics
- Biostatistics
- Catalytic Chemistry
- Encryption
- Evolution & Phylogeny
- Fluid Dynamics
- Genetics & Bioinformatics
- Machine Learning
- Mathematical Biology
- Natural Language Processing
- Synthetic Biology
Contact and Tour Information
To learn more about the ELSA cluster including how to gain access to this resource as well as scheduling class tours of the cluster, please contact Shawn Sivy in Physics 108A, ssivy@tcnj.edu, or 609-771-3475.
Acknowledgements
 |
|
The computing hardware comprising the ELSA cluster was provided in part by the State of New Jersey’s Building our Future bond, NJ ELF Bond, and grants from the National Science Foundation (OAC-1826915 and OAC-2320244). The College of New Jersey and the School of Science gratefully acknowledge their support and partnership.