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== 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 143 servers, providing 1,432 central processing unit (CPU) cores, 44 graphics processing units (GPUs), and approximately a petabyte 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 and schedule class tours of the cluster room, please contact Shawn Sivy in STEM 118, 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, grants from the National Science Foundation, 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.

Revision as of 17:55, 11 April 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 143 servers, providing 1,432 central processing unit (CPU) cores, 44 graphics processing units (GPUs), and approximately a petabyte 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 and schedule class tours of the cluster room, please contact Shawn Sivy in STEM 118, 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, grants from the National Science Foundation, 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.