NSF Org:	OAC Office of Advanced Cyberinfrastructure (OAC)
Recipient:	OKLAHOMA STATE UNIVERSITY
Initial Amendment Date:	August 3, 2022
Latest Amendment Date:	August 29, 2024
Award Number:	2216084
Award Instrument:	Standard Grant
Program Manager:	Alejandro Suarez alsuarez@nsf.gov  (703)292-7092 OAC  Office of Advanced Cyberinfrastructure (OAC) CSE  Directorate for Computer and Information Science and Engineering
Start Date:	August 15, 2022
End Date:	July 31, 2026 (Estimated)
Total Intended Award Amount:	$4,000,000.00
Total Awarded Amount to Date:	$4,000,000.00
Funds Obligated to Date:	FY 2022 = $4,000,000.00
History of Investigator:	Pratul Agarwal (Principal Investigator) pratul.agarwal@okstate.edu Mickey Slimp (Co-Principal Investigator) William Hsu (Co-Principal Investigator) Terrance Figy (Co-Principal Investigator) Robert Fleming (Co-Principal Investigator) Janet Twomey (Former Co-Principal Investigator) Xiuzhen Huang (Former Co-Principal Investigator) James Deaton (Former Co-Principal Investigator)
Recipient Sponsored Research Office:	Oklahoma State University 401 WHITEHURST HALL STILLWATER OK  US  74078-1031 (405)744-9995
Sponsor Congressional District:	03
Primary Place of Performance:	Oklahoma State University 106 Math Sciences Stillwater OK  US  74048-1011
Primary Place of Performance Congressional District:	02
Unique Entity Identifier (UEI):	NNYDFK5FTSX9
Parent UEI:
NSF Program(s):	Major Research Instrumentation, Information Technology Researc, CYBERINFRASTRUCTURE, EPSCoR Co-Funding
Primary Program Source:	01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	9150, 9102
Program Element Code(s):	118900, 164000, 723100, 915000
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.070, 47.083

ABSTRACT

This project will acquire and deploy a high-performance computing (HPC) system to serve the researchers and educators in the broad Oklahoma-Arkansas-Kansas (OAK) region. Computational modeling, simulations, and data analytics are essential tools for new discoveries across all areas of science, engineering and mathematics. In particular, modern research breakthroughs are being driven by vast amounts of data enabled by computing and memory capacity, often combined with machine-learning/artificial intelligence (ML/AI) techniques. This system will seed the growth of a collaborative HPC ecosystem in the region, serving the needs of experienced users and enabling first time users, especially from small and under-served institutions. Technical know-how exchange, regular seminars, and conferences will promote collaborative research endeavors of regional and national importance. Hands on training of graduate, undergraduate and high-school students in computational and data sciences will broadly improve the skill-sets of the science and engineering workforce in the OAK region.

The deployed system will harness the power of the latest CPUs, cutting-edge graphics processing units (GPUs), 100 Terabytes of aggregate memory, an HDR InfiniBand interconnect, and Petabyte-scale high-speed storage. This system consisting of several types of nodes (CPUs-only, mid-range GPUs, and high-end GPUs) will provide close to 100 million-core hours of computing and will serve as a vital regional resource for science and engineering research. Initial research areas to be served by the system include biology, human and animal health, agriculture, environment research, chemistry and chemical engineering, semiconductor materials research, cybersecurity and social network modeling, renewable energy research, seismology, high-energy physics, and medical physics. This significantly improved computing and data analysis capabilities provided by this system will greatly benefit scientific productivity. Furthermore, the instrument will make it possible for faculty to include HPC and data analysis techniques in the STEM education curriculum, leading to computational thinking becoming a part of research in the minds of the next generation of scientists. Lowering the barrier of entry to HPC will also help improve the education and training of women, minorities and under-represented groups. This system will also contribute computing resources beyond the OAK region through collaborative mechanisms such as the Partnership to Advance Throughput computing (PATh) and the Open Science Grid (OSG).

This project is jointly funded by the Major Research Instrumentation (MRI) program, the Established Program to Stimulate Competitive Research (EPSCoR), and the Computer & Information Science & Engineering (CISE) Directorate.

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.

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