Valerio Pascucci
University of Utah, UT·Computer Science
Large shared facilities, such as telescopes, particle detectors and supercomputers, now produce data far faster than many researchers can easily access or move it. This can limit their scientific value.
- Fields
Computer Science
Engineering
- Topics
cyberinfrastructure
National Science Data Fabric
data delivery
- Grants
- 1 known grant, through Mar 2027
What they work on
- Build a testbed for a National Science Data Fabric that connects storage, networking and computing resources across supercomputing centers, campus clusters, commercial cloud and individual labs.
- Develop a programmable content delivery network (CDN) that works across different storage systems to speed up delivery of large scientific datasets.
- Test the data fabric with real scientific users, including the IceCube neutrino observatory, the XenonNT dark matter detector and the Materials Commons, using a modular, containerized software stack.
More about the research
The project tests a pilot National Science Data Fabric (NSDF), a shared system that links data storage, networking, computing and teaching resources. The goal is equal access for researchers in earth science, astronomy, biology, chemistry, physics and materials science.
Why it matters
Easier, faster data delivery could help scientists who rely on large shared facilities, such as astronomers studying how galaxies evolve and the nature of dark matter, or materials scientists designing new materials for energy and healthcare. By including minority-serving institutions, the system aims to widen who can do data-driven science.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Wayne Figurelle
Pennsylvania State University, PA·Computer Science
Deploy advanced cyberinfrastructure linking Allegheny College, Harrisburg University of Science and Technology and West Chester University to the PA Science regional research network for high-performance data transmission and sharing.
Paul Ruth
University of North Carolina at Chapel Hill, NC·Computer Science
Deploy next-generation SmartNICs, programmable network cards called Data Processing Units, at four international FABRIC testbed sites so researchers can offload networking, storage and security tasks from CPUs and GPUs.
Douglas Thain
University of Notre Dame, IN·Computer Science
Develop NBFlow, a toolkit that records notebook executions and converts them into workflows that schedule tasks concurrently on high performance clusters or clouds.
The school
University of Utah: 58 labs on PI Pages, $789M a year on research, 366 research doctorates a year.
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