
NSF Org: |
OAC Office of Advanced Cyberinfrastructure (OAC) |
Recipient: |
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Initial Amendment Date: | May 17, 2022 |
Latest Amendment Date: | May 3, 2023 |
Award Number: | 2201428 |
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: | June 1, 2022 |
End Date: | May 31, 2024 (Estimated) |
Total Intended Award Amount: | $400,000.00 |
Total Awarded Amount to Date: | $416,000.00 |
Funds Obligated to Date: |
FY 2023 = $16,000.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
2425 CAMPUS RD SINCLAIR RM 1 HONOLULU HI US 96822-2247 (808)956-7800 |
Sponsor Congressional District: |
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Primary Place of Performance: |
2520 Correa Road Honolulu HI US 96822-2234 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
Campus Cyberinfrastructure, EPSCoR Co-Funding |
Primary Program Source: |
010V2122DB R&RA ARP Act DEFC V |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070, 47.083 |
ABSTRACT
This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).
The University of Hawaii (UH) aims to establish the CC* Compute: Koa - A High Performance and Flexible Research Computing Resource to support computationally intensive research, education and practice across the UH ten-campus system. The project aims to install a compute cluster Koa, which is architected in response to current resource constraints, particularly scratch storage. The cluster hardware includes scratch storage of 750TB, 2 Graphics Processing Unit (GPU) nodes comprising 10x Nvidia A4000 cards, and a total of 384 CPU cores across 8 compute nodes. Koa provides UH faculty, researchers and students state-of-the-art computational resources focused towards machine learning, artificial intelligence and large scale simulation. The Koa computing cluster is a shared inter-campus resource available to all UH researchers. Koa focuses to support researchers in the specialties of astronomy, atmospheric science, ocean science, microbiome science, and computer & data science, across UH's ten-campus system. Koa resources enable researchers to scale up research to process larger datasets and models in addition to accelerating existing workflows through the new advanced architecture that ties extremely fast storage to the compute resources over a high-speed network, which enables a shorter time to result. The strategic partnership with the Open Science Grid allows for efficient usage of unused Koa resources by the national research community as well as a gateway to a national compute platform for Koa users. Additionally, the Koa resource aids hands-on training in data science and computational science for the next generation of researchers and data scientists through partnership with the Hawaii data science institute and local community for workshops and classroom access.
Koa enables a larger scope and scale of analysis by providing 750TB of high-speed Lustre parallel scratch storage capacity accessible from all compute and GPU accelerated resources. Koa?s 200Gb HDR infiniband network enables Koa?s Lustre to achieve I/O speeds up to 96Gb/s and provide increased computational throughput for I/O heavy workflows. Koa?s external network connections increase data transfer speeds to national, commercial cloud and academic resources via the combination of 100Gb/s data transfer node connection and high-speed parallel file system, enhancing end-to-end big data workflows. Koa also provides virtualized infrastructure to support specialized computational use cases such as: immersive analytics and science gateways. The strategic partnership with the Open Science Grid allows for harvesting unused cycles on Koa by the national research community as well as a gateway to national compute platform for Koa users. The integration of Koa?s high speed file system with the regional Jestream2 NSF Cloud infrastructure hosted at UH allows researchers to easily span computing environments and modalities between the cloud and local Koa computing resources to support new deep learning and artificial intelligence workflows, visualizations and applications.
This project is funded through the collaborative efforts of the Office of Advanced Cyberinfrastructure (OAC) and the Established Program to Stimulate Competitive Research (EPSCoR).
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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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The University of Hawaiʻi (UH) launched an ambitious project to enhance computational research by deploying the High-Performance Computing (HPC) cluster, Koa. This initiative heralded the next generation of sustainable computational capacity at the university, enabling UH and its researchers to grow their infrastructure to meet the demands of modern research.
Koa set out to overcome barriers in high-performance computational resources to support machine learning and artificial intelligence methods. It added 30 new GPU accelerators and large-capacity high-performance data storage. As a result, Koa successfully retained and expanded UH's advanced computing user base, reaching 458 active users in its final project year, with 81 new researchers leveraging its capabilities. GPU accelerator utilization saw a significant increase of 54.4%, aiding advancements in fields such as computational chemistry, atmospheric science, and computer science.
The reach of Koa extended to campuses previously without HPC resources, marking milestones with first-time users at Kapiʻolani and Leeward Community Colleges. UH Maui College and Hilo also demonstrated increased usage. Further, Koa supported nine workshops, engaging 147 researchers and students on topics ranging from machine learning in climate science to core high-performance computing and scientific software basics. These workshops were conducted by the Hawaiʻi Data Science Institute in partnership with the Hawaiʻi Established Program to Stimulate Competitive Research ---Research Infrastructure Improvement: Change-HI project and Cybertraining for climate science. Finally, Koa also made its way into the classroom, supporting four courses (two in Fall 2023 and two in Spring 2024). This integration impacted 103 students, both graduate and undergraduate, across disciplines such as Biology, Climate Modeling, Machine Learning, and Mechanical Engineering.
Koa has enabled the continued use of computational research at the University of Hawaiʻi, significantly expanding the institution's capacity to support modern, data-intensive scientific endeavors. From integrating cutting-edge accelerators to support Machine Learning and Artificial intelligence to reaching new campuses and fostering a thriving community of advanced computing users, Koa has not only met but exceeded the needs of contemporary research, setting a new standard for sustainable and high-performance academic infrastructure in Hawaii.
Last Modified: 10/24/2024
Modified by: Sean B Cleveland
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