UVA Leads Nationwide Project to Protect Health Data for COVID-19 Research

August 4, 2020

Aug. 4, 2020 — The National Science Foundation has awarded the University of Virginia a $1.2 million expansion of a grant to develop a secure, high-performance computing system for research, with the new funds supporting nationwide use of the system for COVID-19 research.

UVA’s computer cluster. Image courtesy of Sanjay Suchak, University of Virginia Communications.

The problem UVA is tackling is multi-faceted. Research institutions need secure, high-performance computing capability for sensitive research data; meanwhile, regulations protecting such data are quickly expanding. Meeting the regulations as data grows exponentially requires costly computing infrastructure, which some institutions cannot afford.

In 2019, the National Science Foundation supported UVA’s proposed work to broaden Virginia universities’ access to protected data for research with a $2.5 million grant to establish the Virginia Assuring Controls Compliance of Research Data, or Virginia ACCORD. ACCORD offers access to data storage and computational capability that are compliant with the Health Insurance Portability and Accountability Act – HIPAA – for researchers who might otherwise not have access through their institutions.

Access to research computing infrastructure for safely collecting, storing and analyzing sensitive data became even more important in 2020. Researchers across all fields of science and engineering who might not normally work on health research were diving into critical COVID-19 projects that would potentially intersect with protected data.

For instance, computer scientists and education researchers might work with school districts to study and model the pandemic’s effect on students. As part of that study, researchers may collect data from students on their health. If any student were to include personal information, the entire data set would become individually identifiable health data. The best approach would be to implement the project within a “safe” research environment where data is protected by default.

COVID-19 researchers at smaller institutions across the United States would find themselves at a disadvantage without access to adequate and secure environments for protected health data. Recognizing this need, the Virginia ACCORD team proposed an expansion to the National Science Foundation in support of COVID-19 researchers.

“UVA’s leadership in building the ACCORD cyberinfrastructure will give researchers at universities across our nation access to the rich, secure data they need for critical COVID-19 research,” said Melur K. (Ram) Ramasubramanian, vice president for research at UVA.

The effort to develop a national-scale, high-performance computing system for Assuring Controls Compliance of Research Data for COVID-19, or ACCORD-COVID, is led by Ronald R. Hutchins, vice president for information technology at UVA, and Scott Bevins, associate provost for information services and chief information officer at UVA-Wise. The team includes researchers from Georgia Tech, Indiana University, Stanford University and University of Utah.

“Science and engineering research on COVID-19 that is informed by health data is foundational for a lot more than just health care,” Hutchins said.

Tho H. Nguyen, a senior research program officer in UVA Engineering’s Department of Computer Science who wrote the proposal for the grant expansion, said the importance of ACCORD-COVID for supporting the research needed to understand the effects of the virus cannot be overstated.

“Any crisis brings a surge of research breakthroughs at the beginning, and these are generally driven by large groups answering large questions,” he said. “Those efforts raise thousands of new questions that need to be answered at the community level for a granular understanding of the problem.” Researchers often describe this as the “long tail” of science.

“The ACCORD-COVID infrastructure will provide a tremendous amount of support to the researchers immersed in that ‘long tail’ of science,” Nguyen said.

ACCORD-COVID secure high-performance computing resources will be available to all COVID-19 research projects funded by the National Science Foundation. Researchers at other institutions will have independent access to the system and maintain full control over their data.

“UVA Engineering researchers are actively seeking opportunities to contribute to the nation’s pandemic response, and we are proud of the expertise we can bring to bear in a wide range of areas,” said Susan Barker, UVA Engineering’s associate dean for research.

The National Science Foundation also provided $40,000 for undergraduate student internships at UVA and its partner institutions. Internships are already in place at some of the Virginia partners. Going forward, emphasis will be placed on internships at smaller partner institutions outside of Virginia.

The project is funded by the National Science Foundation’s Office of Advanced Cyberinfrastructure through the Major Research Instrumentation Program. The project is an investment to address growing disparities in universities’ access to protected data for research.

For additional graphics, visit https://news.virginia.edu/content/uva-leads-nationwide-project-protect-health-data-covid-19-research


Source: Audra Book, University of Virginia

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire