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Research Spending & Results

Award Detail

Doing Business As Name:University of Vermont & State Agricultural College
  • Christopher M Danforth
  • (802) 656-3062
  • Jianing Li
  • Hugh Garavan
  • Meredith T Niles
  • Jarlath P O'Neil-Dunne
Award Date:08/23/2021
Estimated Total Award Amount: $ 725,016
Funds Obligated to Date: $ 725,016
  • FY 2021=$725,016
Start Date:09/01/2021
End Date:08/31/2023
Transaction Type:Grant
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.049
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:MRI: Acquisition of a Massive Database to Accelerate Data Science Discovery
Federal Award ID Number:2117345
DUNS ID:066811191
Parent DUNS ID:066811191
Program:Major Research Instrumentation
Program Officer:
  • Junping Wang
  • (703) 292-4488

Awardee Location

Street:85 South Prospect Street
Awardee Cong. District:00

Primary Place of Performance

Organization Name:University of Vermont & State Agricultural College
Street:85 South Prospect St
Cong. District:00

Abstract at Time of Award

This project is jointly funded by the Major Research Instrumentation and the Established Program to Stimulate Competitive Research (EPSCoR) programs. The project funds construction of DataMountain, a massive database cluster for high performance computing at the University of Vermont (UVM). The large-memory machine will enhance the Vermont Advanced Computing Core, a virtual laboratory supporting the research of over 500 scientists in the state of Vermont. With so many fields transitioning from data-scarce to data-rich environments, many important research areas will benefit from this new machine including research into addiction, mental illness, climate change, drug discovery, food systems, and the spread of online misinformation. DataMountain will allow for fast access to enormous datasets, supporting several projects that require computational power and speed to effectively analyze, describe, and explain rapidly growing datasets. DataMountain will increase by nearly two orders of magnitude the largest random access memory machine available for computational research at UVM, accelerating large-scale data-driven research requiring rapid reading and writing, and facilitating a broad and diverse set of important scientific investigations not currently possible given the existing hardware. It will also enhance the functionality of the high performance computing clusters BlueMoon and DeepGreen, which are dedicated to parallel processing and machine learning respectively. For example, the machine will allow for interactive access to over 50 terabytes of social media data through and for timely analysis of changes related to the COVID-19 pandemic in population-scale physical and mental health data. In addition, DataMountain will allow for massive increases in the spatial and temporal resolution of computational chemistry simulations being performed for data-driven design of next-generation antimicrobial peptides to combat antibiotic resistance. DataMountain will also enable exploration of petabytes of fMRI, genetic, task performance, and survey data associated with 10,000 adolescents across the United States over the next decade. In addition, the machine will accelerate research using unmanned aerial surveillance imaging for tree canopy assessments, facilitate network science modeling of agricultural diversity of crops and nutritional outcomes globally, and help quantify the impacts of the COVID-19 pandemic on food insecurity. 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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