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Award Abstract # 2321565
Equipment: CC Campus Compute: Expansion of GPU Compute Capacity for NC State University HPC to Support Research and Education

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: NORTH CAROLINA STATE UNIVERSITY
Initial Amendment Date: June 5, 2023
Latest Amendment Date: June 5, 2023
Award Number: 2321565
Award Instrument: Standard Grant
Program Manager: Amy Apon
awapon@nsf.gov
 (703)292-5184
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: August 1, 2023
End Date: July 31, 2025 (Estimated)
Total Intended Award Amount: $467,607.00
Total Awarded Amount to Date: $467,607.00
Funds Obligated to Date: FY 2023 = $467,607.00
History of Investigator:
  • Andrew Petersen (Principal Investigator)
    aapeters@ncsu.edu
  • Marc Hoit (Co-Principal Investigator)
  • Eric Sills (Co-Principal Investigator)
Recipient Sponsored Research Office: North Carolina State University
2601 WOLF VILLAGE WAY
RALEIGH
NC  US  27695-0001
(919)515-2444
Sponsor Congressional District: 02
Primary Place of Performance: North Carolina State University
2601 WOLF VILLAGE WAY
RALEIGH
NC  US  27607
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): U3NVH931QJJ3
Parent UEI: U3NVH931QJJ3
NSF Program(s): Campus Cyberinfrastructure
Primary Program Source: 01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):
Program Element Code(s): 808000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

This project expands advanced computing capacity at North Carolina State University (NC State). The resources enable larger models, faster simulations, larger datasets for more accurate Artificial Intelligence models, and faster processing of genome assemblies. The resource is deployed into a supportive environment - the High Performance Computing (HPC) facility - which provides outreach, training, documentation, tutorials, support, and tools for access, visualization, job execution, and an onboarding process for beginning users.

The project installs six Lenovo SR670 nodes with the latest NVIDA Hopper architecture (with 12x H100 and 12x L40 NVIDIA GPUs) so that teaching, classroom use, and research (including research from the science drivers) can expand, relieving the compute congestion on the current GPU cards. More than twelve science applications will be supported on the system. Applications include ab-initio methods such as Density Functional Theory and Molecular Dynamics, neural network training, cryo-EM, genome assembly, and fluid simulation. More than 200 projects are supported by the HPC facility. Access to this system will be provided for all students, including undergraduates. Educational impacts include access to the system for teaching, classroom use, and research capability for HPC users. A significant portion of the resource will be made available to Open Science Grid, providing increased computing capacity for scientific users nationwide.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Chattopadhyay, Chandrodoy and Ott, Josh and Schäfer, Thomas and Skokov, Vladimir V "Simulations of Stochastic Fluid Dynamics near a Critical Point in the Phase Diagram" Physical Review Letters , v.133 , 2024 https://doi.org/10.1103/PhysRevLett.133.032301 Citation Details

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