HPC Cluster About - Revision history

Admin: /* Acknowledgements */

2026-03-12T18:27:11Z

Acknowledgements

← Older revision		Revision as of 18:27, 12 March 2026
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	{\|		{\|
	\|-		\|-
	\| [[File:NJ State Seal.png]]     \|\| [[File:NSF Logo.png]]		\| [[File:NJ State Seal.png\|alt=State seal of NJ]]     \|\| [[File:NSF Logo.png\|alt=National Science Foundation logo]]
	\|}		\|}
	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.		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.

Admin at 17:08, 18 January 2026

2026-01-18T17:08:16Z

← Older revision		Revision as of 17:08, 18 January 2026
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	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 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.		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.

Admin at 17:07, 18 January 2026

2026-01-18T17:07:56Z

← Older revision		Revision as of 17:07, 18 January 2026
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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 62~~ nodes, providing 2,~~916 central processing unit (~~CPU) cores, ~~25TB~~ of ~~RAM,~~ 99 ~~graphics~~ processing units ~~(GPUs), and approximately 6~~.3 petabytes of network-based storage. The cluster is ~~housed in this~~ dedicated ~~Scientific Computing Center in~~ TCNJ’s ~~STEM Building~~.		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 ==

Admin: /* Use Cases */

2024-09-06T16:34:12Z

Use Cases

← Older revision		Revision as of 16:34, 6 September 2024
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	== 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 ~~fast,~~ permanent storage (disk).		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:

Admin: /* ELSA High Performance Computing Cluster */

2024-09-06T16:33:47Z

ELSA High Performance Computing Cluster

← Older revision		Revision as of 16:33, 6 September 2024
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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 62 nodes, providing 2,916 central processing unit (CPU) cores, 25TB of RAM, 99 graphics processing units (GPUs), and approximately 6.3 petabytes of network-based storage. The cluster is housed in this dedicated Scientific Computing Center in TCNJ’s STEM Building ~~that opened in 2017~~.		ELSA’s compute resources are currently comprised of over 62 nodes, providing 2,916 central processing unit (CPU) cores, 25TB of RAM, 99 graphics processing units (GPUs), and approximately 6.3 petabytes of network-based storage. The cluster is housed in this dedicated Scientific Computing Center in TCNJ’s STEM Building.

	== Use Cases ==		== Use Cases ==

Admin: /* ELSA High Performance Computing Cluster */

2024-09-06T16:33:12Z

ELSA High Performance Computing Cluster

← Older revision		Revision as of 16:33, 6 September 2024
Line 3:		Line 3:
	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 62 nodes, providing 2,916 central processing unit (CPU) cores, 25TB of RAM, 99 graphics processing units (GPUs), and approximately 6.3 petabytes of network-based storage. The cluster is housed in this dedicated Scientific Computing Center in TCNJ’s ~~newly constructed~~ STEM Building.		ELSA’s compute resources are currently comprised of over 62 nodes, providing 2,916 central processing unit (CPU) cores, 25TB of RAM, 99 graphics processing units (GPUs), and approximately 6.3 petabytes of network-based storage. The cluster is housed in this dedicated Scientific Computing Center in TCNJ’s STEM Building that opened in 2017.

	== Use Cases ==		== Use Cases ==

Admin: /* ELSA High Performance Computing Cluster */

2024-09-06T16:32:31Z

ELSA High Performance Computing Cluster

← Older revision		Revision as of 16:32, 6 September 2024
Line 3:		Line 3:
	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 56 nodes, providing 2,~~796~~ central processing unit (CPU) cores, ~~23.5TB~~ of RAM, 78 graphics processing units (GPUs), and approximately 6.3 petabytes of network-based storage. The cluster is housed in this dedicated Scientific Computing Center in TCNJ’s newly constructed STEM Building.		ELSA’s compute resources are currently comprised of over 62 nodes, providing 2,916 central processing unit (CPU) cores, 25TB of RAM, 99 graphics processing units (GPUs), and approximately 6.3 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 ==
	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 fast, permanent storage (disk).		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 fast, permanent storage (disk).

Admin at 15:56, 6 September 2024

2024-09-06T15:56:00Z

← Older revision		Revision as of 15:56, 6 September 2024
Line 6:		Line 6:

	== 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 fast, 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:

Admin at 12:43, 29 May 2024

2024-05-29T12:43:55Z

← Older revision		Revision as of 12:43, 29 May 2024
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	{\|		{\|
	\|-		\|-
	\| [[File:NJ State Seal.png]]     \|\| [[File:NSF ~~Logo.png]]       \|\| [[File:Linode~~ Logo.png]]		\| [[File:NJ State Seal.png]]     \|\| [[File:NSF Logo.png]]
	\|}		\|}
	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.		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.

Admin at 12:42, 29 May 2024

2024-05-29T12:42:51Z

← Older revision		Revision as of 12:42, 29 May 2024
Line 3:		Line 3:
	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 ~~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.		ELSA’s compute resources are currently comprised of over 56 nodes, providing 2,796 central processing unit (CPU) cores, 23.5TB of RAM, 78 graphics processing units (GPUs), and approximately 6.3 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 ==
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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 ~~STEM 118~~, ssivy@tcnj.edu, or 609-771-3475.		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 Logo.png]]       \|\| [[File:Linode Logo.png]]		\| [[File:NJ State Seal.png]]     \|\| [[File:NSF Logo.png]]       \|\| [[File:Linode Logo.png]]
	\|}		\|}
	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 ([https://www.nsf.gov/awardsearch/showAward?AWD_ID=1826915&HistoricalAwards=false OAC-1826915] and [https://www.nsf.gov/awardsearch/showAward?AWD_ID=~~1828163~~ 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.		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.