
NSF Org: |
OAC Office of Advanced Cyberinfrastructure (OAC) |
Recipient: |
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Initial Amendment Date: | September 11, 2019 |
Latest Amendment Date: | September 7, 2022 |
Award Number: | 1919839 |
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: | October 1, 2019 |
End Date: | September 30, 2023 (Estimated) |
Total Intended Award Amount: | $1,399,992.00 |
Total Awarded Amount to Date: | $1,399,992.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
550 S COLLEGE AVE NEWARK DE US 19713-1324 (302)831-2136 |
Sponsor Congressional District: |
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Primary Place of Performance: |
210 Hullihen Hall Newark DE US 19716-2553 |
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): |
Major Research Instrumentation, Information Technology Researc, CYBERINFRASTRUCTURE, EPSCoR Co-Funding |
Primary Program Source: |
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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 |
ABSTRACT
Cyberinfrastructure (CI) drives progress in science, engineering, and business in a major way, as stated prominently in the 2015 presidential National Strategic Computing Initiative. CI - consisting of computer, data, networking and related resources - enables new ideas and products to be explored "virtually," without building expensive prototypes and physical experiments. CI also powers almost all business processes today. This project implements a major computational and data resource at the University of Delaware (UD), enabling and accelerating progress in all sciences and addressing grand challenges facing our society. Through partnerships with regional universities, colleges, health institutions and the private sector, the new resource will also boost research, development, and education in the greater Delaware area.
The acquired compute and storage system will serve as a critical and transformative upgrade to Delaware's cyberinfrastructure, enabling research and educational activities for a large number of faculty across all UD colleges as well as for users from academic and industrial partners within the broader Delaware region. The requested instrumentation is designed to enable research broadly across disciplines with diverse software and hardware needs including, but not limited to, problems that scale to large numbers of processors and data sets, involve large data transfers, use advanced graphics accelerators, and require new operating modes. It will also serve to train students and researchers on computational and data-intensive methods and enhance these skills in the greater Delaware region. The acquisition of the instrumentation, called DARWIN (Delaware Advanced Research Workforce and Innovation Network), will complement ongoing UD initiatives focused on improving and enhancing networking, storage, and compute infrastructure. This addition will also be timely, providing great synergy with the new UD Data Science Institute and the faculty network in high-performance computing led by the project investigators.
This project is jointly funded by the Office of Advanced Cyberinfrastructure (OAC), the Office of Integrative Activities, 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.
This project acquired and made available to the research community a high-performance computer and storage system, called DARWIN (Delaware Advanced Research Workforce and Innovation Network). DARWIN is a scientific instrument capable of executing advanced research tasks in computational and data science. The instrument has enabled research projects across a wide range of disciplines at the University of Delaware (UD) and its partner organizations in the greater Delaware region. Among these disciplines are physics, chemistry, biology, astronomy, computer science, artificial intelligence, machine learning, image processing, materials engineering, civil engineering, health informatics, linguistics, agriculture, biomedicine, energy, environment sustainability, plant science, neuroscience, social science, management, economy, and finance. The system has also been made available for use by national researchers via NSF's XSEDE/ACCESS allocation mechanisms.
The DARWIN project included a thrust to build a network engaging these partners. As a core element, the thrust launched a symposium series, the DARWIN Computing Symposia, which have taken place annually, since 2020. The Symposia will continue bringing together researchers in the Mid-Atlantic region to discuss advances in computational and data science.
Next to enabling science and forming partnerships, this project also had an impact on educational activities. The DARWIN system supported many class projects and educational initiatives, such as a NSF Research Traineeship initiative that created an interdisciplinary program at UD in computational material science.
Last but not least, DARWIN represented a critical infrastructure enhancement at UD. In doing so it helped pave the way for UD - and the Delaware region - to become a regional and national nexus for computational and data-intensive science. To this end, the NSF-funded instrument has emerged as a critical catalyst for advancing the forefront of human knowledge.
Last Modified: 01/25/2024
Modified by: Rudolf Eigenmann
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