Main Page - Revision history

Alex: /* Condo */

2026-04-19T16:36:27Z

Condo

← Older revision		Revision as of 16:36, 19 April 2026
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	=== Condo ===		=== Condo ===
	Condo users only pay for infrastructure support. The annual fee depends on the type of node and ranges from $1,540 to $4,520 per year. ~~Please see table below for details.~~		Condo users only pay for infrastructure support. The annual fee depends on the type of node and ranges from $1,540 to $4,520 per year.

	==== Lease on condo node(s) ====		==== Lease on condo node(s) ====

Alex: /* Lease on condo node(s) */

2026-04-19T16:35:16Z

Lease on condo node(s)

← Older revision		Revision as of 16:35, 19 April 2026
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	Condo users only pay for infrastructure support. The annual fee depends on the type of node and ranges from $1,540 to $4,520 per year. Please see table below for details.		Condo users only pay for infrastructure support. The annual fee depends on the type of node and ranges from $1,540 to $4,520 per year. Please see table below for details.

	=== Lease on condo node(s) ===		==== Lease on condo node(s) ====
	Users may lease condo nodes for a project, ensuring them 100% access and eliminating any time or job limitations on the leased resource. The minimum lease duration '''is 30 days (one month).''' Longer leases (more than 90 days) receive a 10% discount. The lease of a condo node is contingent upon the owner of the required node agreeing to lease for a specific time period and duration. Users interested in leasing a condo node of a particular type must contact the HPCC director for options. Lease fees vary depending on the type of node and are currently (note that prices are reviewed once every six months) between $230 and $1100 per month.		Users may lease condo nodes for a project, ensuring them 100% access and eliminating any time or job limitations on the leased resource. The minimum lease duration '''is 30 days (one month).''' Longer leases (more than 90 days) receive a 10% discount. The lease of a condo node is contingent upon the owner of the required node agreeing to lease for a specific time period and duration. Users interested in leasing a condo node of a particular type must contact the HPCC director for options. Lease fees vary depending on the type of node and are currently (note that prices are reviewed once every six months) between $230 and $1100 per month.

Alex: /* Condo */

2026-04-19T16:34:46Z

Condo

← Older revision		Revision as of 16:34, 19 April 2026
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	=== Condo ===		=== Condo ===
	Condo users only pay for infrastructure support. The annual fee depends on the type of node and ranges from $1,540 to $4,520 per year. Please see table below for details.		Condo users only pay for infrastructure support. The annual fee depends on the type of node and ranges from $1,540 to $4,520 per year. Please see table below for details.

			=== Lease on condo node(s) ===
			Users may lease condo nodes for a project, ensuring them 100% access and eliminating any time or job limitations on the leased resource. The minimum lease duration '''is 30 days (one month).''' Longer leases (more than 90 days) receive a 10% discount. The lease of a condo node is contingent upon the owner of the required node agreeing to lease for a specific time period and duration. Users interested in leasing a condo node of a particular type must contact the HPCC director for options. Lease fees vary depending on the type of node and are currently (note that prices are reviewed once every six months) between $230 and $1100 per month.

	=== Storage ===		=== Storage ===
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	=== HPCC access plans details and examples ===		=== HPCC access plans details and examples ===
	a. '''Minimum access (MAP):'''		a. '''Minimum access (MAP):'''

	Minimum ~~access~~ is designed to provide ~~wide~~ support for research activities ~~in any college~~, ~~to promote~~ collaboration between ~~colleges~~, ~~to help establish a~~ new research ~~project~~, and~~/or to be testbed~~ for ~~new~~ studies. MAP accounts operate under ~~strict~~ fair share policy so actual waiting time for a job in a ~~que depends~~ on resources ~~used~~ by that account in previous cycles. ~~In addition~~ all jobs ~~have~~ strict time ~~limitations~~. ~~Therefore long~~ jobs ~~must use check-points~~.		Minimum Access is designed to provide extensive support for research activities across various colleges, foster collaboration between institutions, facilitate the establishment of new research projects, and serve as a testing ground for innovative studies. MAP accounts operate under a stringent fair share policy, which determines the actual waiting time for job allocation in a queue based on the resources utilized by that account in previous cycles. Furthermore, all jobs are subject to strict time constraints. Consequently, extended jobs necessitate the implementation of checkpoints.

	The MAP ~~has 3~~ tiers:		The MAP offers three tiers of access:

	· A: Basic tier fee is $~~5000 per year~~. It is ~~designed~~ to ~~provide~~ support ~~for~~ users from colleges with ~~low level of~~ research activities. The fee covers infrastructure expenses associated with ~~1-2~~ users from these colleges.		· A: The Basic tier incurs a yearly fee of $5,000. It is tailored to support users from colleges with limited research activities. The fee covers infrastructure expenses associated with one to two users from these colleges.

	· B: Medium tier fee is $15,000 ~~per year~~. ~~The fee~~ covers infrastructure expenses of up to 12 users from these colleges. ~~In addition~~, every account under ~~medium~~ tier ~~gets free 11520~~ CPU hours and ~~free 1440~~ GPU hours upon ~~opening~~.		· B: The Medium tier incurs a yearly fee of $15,000. It covers infrastructure expenses for up to twelve users from these colleges. Additionally, every account under the Medium tier receives complimentary 11,520 CPU hours and 1,440 GPU hours upon account creation.

	· C: Advanced tier is $25,000 ~~per year~~. ~~The fee~~ covers infrastructure expenses for all users from these colleges. ~~In addition~~ every new account from this tier ~~gets free 11520~~ CPU hours and ~~free 1440~~ GPU hours upon ~~opening~~.		· C: The Advanced tier incurs a yearly fee of $25,000. It covers infrastructure expenses for all users from these colleges. Furthermore, every new account from this tier receives complimentary 11,520 CPU hours and 1,440 GPU hours upon account creation. Minimum access is designed to provide wide support for research activities in any college, to promote collaboration between colleges, to help establish a new research project, and/or to be testbed for new studies. MAP accounts operate under strict fair share policy so actual waiting time for a job in a que depends on resources used by that account in previous cycles. In addition all jobs have strict time limitations. Therefore long jobs must use check-points.

	The MAP users get charged per CPU/GPU hour at low rate of '''<u>$0.015 per cpu hour and $0.09 per GPU hour</u>.'''		The MAP users get charged per CPU/GPU hour at low rate of '''<u>$0.015 per cpu hour and $0.09 per GPU hour</u>.'''

Alex: /* Recovery of operational costs */

2026-04-15T18:52:13Z

Recovery of operational costs

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	= Recovery of operational costs =		= Recovery of operational costs =
	CUNY-HPCC is not for profit core research facility at CUNY~~. Our mission~~ is to ~~support all types~~ of research that ~~require~~ advanced computational resources. CUNY-~~HPCC~~ operations are not ~~for profit and are NOT~~ directly or indirectly ~~sponsored~~ by CUNY or College of Staten Island (CSI). Consequently CUNY-HPCC ~~applies~~ cost recovery model ~~recapturing only '''<u>~~operational ~~costs with no~~ profit for HPCC</u>~~'''.~~ The recovered costs are calculated using actual ~~documented~~ operational ~~expenses~~ and are break even for all CUNY users. ~~The used~~ methodology is approved by CUNY-RF ~~methodology used~~ in other CUNY research facilities~~. The costs are reviewed and consequently updated twice a year~~. The cost recovery charging schema is based on ~~'''<u>~~unit-hour~~</u>'''. The unit can be either~~ CPU ~~unit or~~ GPU ~~unit~~. ~~The definitions of~~ these ~~is given~~ in a table ~~below:~~		CUNY-HPCC, a not-for-profit core research facility affiliated with CUNY, is dedicated to supporting a wide range of research endeavors that necessitate advanced computational resources. <u>Notably, CUNY-HPCC’s operations are not directly or indirectly funded by CUNY or the College of Staten Island (CSI). Consequently, CUNY-HPCC employs a cost recovery model that exclusively recoups operational expenses, without generating any profit for the HPCC.</u> The recovered costs are meticulously calculated using comprehensive documentation of actual operational expenditures and are designed to achieve a break-even point for all CUNY users. This methodology is approved by CUNY-RF and is employed in other CUNY research facilities. The cost recovery charging schema is based on unit-hour usage, encompassing both CPU and GPU units. Definitions for these units are provided in the accompanying table.
	{\| class="wikitable mw-collapsible"		{\| class="wikitable mw-collapsible"
	\|+Definitions of unit-hour		\|+Definitions of unit-hour

Alex: /* Computing architectures at HPCC */

2026-04-15T18:50:20Z

Computing architectures at HPCC

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	==Computing architectures at HPCC==		==Computing architectures at HPCC==

	The HPC Center ~~operates variety~~ of architectures ~~in order~~ to ~~support complex~~ and demanding workflows. All computational resources of ~~different~~ types are ~~united~~ into single hybrid cluster ~~called~~ Arrow. ~~The latter deploys~~ symmetric multiprocessor (~~also referred as~~ SMP) nodes with and without ~~GPU~~, distributed shared memory (NUMA) node, ~~fat (large~~ memory) nodes and advanced SMP nodes ~~with~~ multiple ~~GPU~~. The number of ~~GPU~~ per node varies between 2 and ~~8 as well as employed~~ GPU interface and GPU family. ~~Thus~~ the ~~basic~~ GPU nodes ~~hold~~ two Tesla K20m ~~(plugged through~~ PCIe interface) while the most advanced ~~ones~~ support eight Ampere A100 ~~GPU~~ connected via SXM interface.		The HPC Center employs a diverse range of architectures to accommodate intricate and demanding workflows. All computational resources of various types are consolidated into a single hybrid cluster known as Arrow. This cluster comprises symmetric multiprocessor (SMP) nodes equipped with and without GPUs, distributed shared memory (NUMA) node(s), high-memory nodes, and advanced SMP nodes featuring multiple GPUs. The number of GPUs per node varies between two and eight, along with the utilized GPU interface and GPU family. Consequently, the fundamental GPU nodes are equipped with two Tesla K20m GPUs connected via the PCIe interface, while the most advanced nodes support eight Ampere A100 GPUs connected via the SXM interface.

	''Overview of Computational architectures'':		''Overview of Computational architectures'':

Alex: /* Mission of CUNY-HPCC */

2026-04-15T18:48:40Z

Mission of CUNY-HPCC

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	== Mission of CUNY-HPCC ==		== Mission of CUNY-HPCC ==
	The City University of New York (CUNY) High Performance Computing Center (HPCC) is a ~~core~~ research and ~~education facility~~ for the ~~University~~. ~~It is located at~~ campus of the ~~college of~~ College of Staten Island, 2800 Victory Boulevard, Staten Island, New York 10314~~. The core mission of CUNY-HPCC~~ is to ~~advance education~~ and ~~boost~~ scientific research and discovery at the ~~University by managing~~ state-of-the-art computing infrastructure and ~~by providing~~ comprehensive research support services ~~including~~ domain-specific expertise in various aspects of computationally intensive research. ~~CUNY is a member of~~ Empire AI (EAI) consortium~~, so~~ CUNY-HPCC is a stepping stone for CUNY researchers ~~toward~~ EAI advanced facilities.		The City University of New York (CUNY) High Performance Computing Center (HPCC) serves as a pivotal research and educational hub for the university. Situated on the campus of the College of Staten Island, located at 2800 Victory Boulevard, Staten Island, New York 10314, the center’s primary objective is to enhance educational opportunities and foster scientific research and discovery within the university. This is achieved through the management of state-of-the-art computing infrastructure and the provision of comprehensive research support services. Notably, CUNY-HPCC offers domain-specific expertise in various aspects of computationally intensive research. Furthermore, CUNY’s membership in the Empire AI (EAI) consortium positions CUNY-HPCC as a stepping stone for CUNY researchers seeking access to EAI advanced facilities.

	== Empire AI and CUNY-HPCC ==		== Empire AI and CUNY-HPCC ==
	The Empire AI ~~consortium includes~~ the '''CUNY Graduate Center~~'''~~, Columbia University, Cornell University, Icahn School of Medicine, New York University, Rochester Institute of Technology, Rensselaer Polytechnic Institute, the State University of New York, University at Buffalo, and University of Rochester. '''CUNY-HPCC provides ~~supports~~ and maintains tickets for all CUNY users with allocation on EAI. ~~In addition~~ CUNY-HPCC is a stepping stone for CUNY researchers ~~since~~ it operates (on smaller scale) architectures (~~Including~~ nodes with Hopper) similar to EAI, including extended ~~"Alpha" server as well~~ new ~~"Beta" computer~~.~~'''~~ The latter will consist of 288 B200 ~~GPU~~ and recently added RTX 6000 ~~pro~~ nodes. The ~~expected~~ cost for ~~'''~~EAI is $0.50/unit (SU),~~'''~~ which will provide CUNY PIs with a rate that is ~~well below~~ a typical AWS rate. One SU corresponds to one hour of H100 compute, and one hour of B200 compute corresponds to two SU. In comparison the CUNY-HPCC recovery costs for public servers are ~~'''~~$0.015 per CPU hour (1 unit) and $0.09 per GPU hour (6 units).~~''' See~~ section HPCC access plans ~~for further details~~.		The Empire AI Consortium comprises the '''CUNY Graduate Center, Columbia University, Cornell University, Icahn School of Medicine, New York University, Rochester Institute of Technology, Rensselaer Polytechnic Institute, the State University of New York, University at Buffalo, and University of Rochester.''' CUNY-HPCC provides support and maintains tickets for all CUNY users with allocation on EAI. Additionally, CUNY-HPCC serves as a stepping stone for CUNY researchers as it operates (on a smaller scale) architectures (including nodes with Hopper) similar to EAI, including extended “Alpha” servers and new “Beta” computers. The latter will consist of 288 B200 GPUs and recently added RTX 6000 Pro nodes. The anticipated cost for EAI is $0.50 per unit (SU), which will provide CUNY PIs with a rate that is significantly lower than a typical AWS rate. One SU corresponds to one hour of H100 compute, and one hour of B200 compute corresponds to two SU. In comparison, the CUNY-HPCC recovery costs for public servers are $0.015 per CPU hour (1 unit) and $0.09 per GPU hour (6 units). For further details, please refer to the section on HPCC access plans.

	== CUNY-HPCC services ==		== CUNY-HPCC services ==
	CUNY-HPCC ~~provides~~ professionally maintained, modern computational environment and architectures, advanced storage and fast interconnects. CUNY-HPCC:
			CUNY-HPCC offers a professionally maintained, modern computational environment and architectures, along with advanced storage and fast interconnects. CUNY-HPCC serves the following purposes:

	:*Supports research computing at CUNY ~~- for~~ faculty, their collaborators at other universities, and their public and private sector partners~~, and~~ CUNY students and research staff.		<nowiki>*</nowiki> Supports research computing at CUNY, benefiting faculty, their collaborators at other universities, and their public and private sector partners. It also supports CUNY students and research staff.
	:*Provides state-of-the-art computing resources and comprehensive research support services including expertise and full support for users with allocation on EMPIRE-AI.
	:*Creates opportunities for the CUNY research community to ~~develop~~ new partnerships with the government and private sectors.		<nowiki>*</nowiki> Provides state-of-the-art computing resources and comprehensive research support services, including expertise and full support for users with allocation on EMPIRE-AI.
	:*~~Leverage the~~ HPCC capabilities to acquire additional research resources for its faculty and graduate students in existing and major new programs.
	:*Maintains tickets for all CUNY users with allocation on EAI.		<nowiki>*</nowiki> Creates opportunities for the CUNY research community to establish new partnerships with the government and private sectors.

			<nowiki>*</nowiki> Utilizes HPCC capabilities to acquire additional research resources for its faculty and graduate students in existing and major new programs.

			<nowiki>*</nowiki> Maintains tickets for all CUNY users with allocation on EAI.

	== Organization of systems and data storage (architecture) ==		== Organization of systems and data storage (architecture) ==

Alex: /* Recovery of operational costs */

2026-03-14T15:27:23Z

Recovery of operational costs

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	# All services associated with data and storage provided by HPCC are free for CUNY users.		# All services associated with data and storage provided by HPCC are free for CUNY users.

	=== HPCC access plans ===		=== HPCC access plans details and examples ===
	a. '''Minimum access (MAP):'''		a. '''Minimum access (MAP):'''

Alex: /* Minimal Access Plan (MAP) */

2026-03-14T15:26:24Z

Minimal Access Plan (MAP)

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	# Lease a node(s)		# Lease a node(s)

	=== Minimal Access Plan (MAP) ===		==== Minimal Access Plan (MAP) ====
	Colleges may participate in any of the Minimal Access Plan tiers. The tiered pricing structure is as follows:		Colleges may participate in any of the Minimal Access Plan tiers. The tiered pricing structure is as follows:

Alex: /* Minimal Access Plan (MAP) */

2026-03-14T15:26:01Z

Minimal Access Plan (MAP)

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	=== Minimal Access Plan (MAP) ===		=== Minimal Access Plan (MAP) ===
			Colleges may participate in any of the Minimal Access Plan tiers. The tiered pricing structure is as follows:

	~~==== Colleges may participate in any of the Minimal Access Plan tiers. The tiered pricing structure is as follows: ====~~
	- Tier A: $5,000 per year		- Tier A: $5,000 per year

Alex: /* Minimal Access Plan (MAP) */

2026-03-14T15:25:33Z

Minimal Access Plan (MAP)

← Older revision		Revision as of 15:25, 14 March 2026
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	=== Minimal Access Plan (MAP) ===		=== Minimal Access Plan (MAP) ===
	~~Colleges may participate in any of the Minimal Access Plan tiers. The tiered pricing structure is as follows:~~

			==== Colleges may participate in any of the Minimal Access Plan tiers. The tiered pricing structure is as follows: ====
	- Tier A: $5,000 per year		- Tier A: $5,000 per year

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	# It is important to note that each GPU requires at least four CPU cores to operate. Therefore, if a user requests one GPU thread, it equates to one GPU thread and four CPU threads, which is equivalent to $0.15 per unit hour for that unit (units are explained above). Note that not all GPU support virtualization, so unit may include the whole GPU depend on used GPU type.		# It is important to note that each GPU requires at least four CPU cores to operate. Therefore, if a user requests one GPU thread, it equates to one GPU thread and four CPU threads, which is equivalent to $0.15 per unit hour for that unit (units are explained above). Note that not all GPU support virtualization, so unit may include the whole GPU depend on used GPU type.

	=== Compute on demand (CODP) ===		==== Compute on demand (CODP) ====
	Users from colleges that do not participate in MAP (A,B,C) are charged '''$0.018 per CPU hour and $0.11 per GPU hour.''' There is no free time associated with CODP.		Users from colleges that do not participate in MAP (A,B,C) are charged '''$0.018 per CPU hour and $0.11 per GPU hour.''' There is no free time associated with CODP.

	=== Lease a public node(s) ===		==== Lease a public node(s) ====
	Users may lease a node(s) for project. That ensures them 100% access and no time or job limitations over leased resource. The minimum lease time is 30 days (one month). Longe leases (more than 90 days) have 10% discount. '''MAP users''' are charged between $172 and $950 per month (see below), depending on the type of node. '''Non-MAP''' users are charged between $249.58 and $1,399 per month, depending on the type of node. Please see below for details and examples.		Users may lease a node(s) for project. That ensures them 100% access and no time or job limitations over leased resource. The minimum lease time is 30 days (one month). Longe leases (more than 90 days) have 10% discount. '''MAP users''' are charged between $172 and $950 per month (see below), depending on the type of node. '''Non-MAP''' users are charged between $249.58 and $1,399 per month, depending on the type of node. Please see below for details and examples.