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. | ||
ELSA’s compute resources are currently comprised of over | ELSA’s compute resources are currently comprised of over 113 servers, providing 2,080 central processing unit (CPU) cores, 84 graphics processing units (GPUs), and approximately two petabytes of network-based storage. The cluster is housed in this dedicated Scientific Computing Center in TCNJ’s newly constructed STEM Building. | ||
== Use Cases == | == Use Cases == | ||
Revision as of 15:04, 28 May 2019
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.
ELSA’s compute resources are currently comprised of over 113 servers, providing 2,080 central processing unit (CPU) cores, 84 graphics processing units (GPUs), and approximately two petabytes of network-based storage. The cluster is housed in this dedicated Scientific Computing Center in TCNJ’s newly constructed STEM Building.
Use Cases
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 STEM 118, ssivy@tcnj.edu, or 609-771-3475.
Acknowledgements
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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 and OAC-1828163), and Linode, a NJ-based pioneer in cloud computing services. The College of New Jersey and the School of Science gratefully acknowledge their support and partnership.