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Category Archives: Research
XPRESS
Overview The eXascale Programming Environment and System Software (XPRESS) project is part of the DOE Office of Science Advanced Scientific Computing Research X-stack Program initiated in September 2012. The purpose of XPRESS is to devise software that will enable practical extreme-scale computing for DOE missions requiring large-scale computing efforts. Researchers hope to achieve the goal and to have working […]
Posted in Network Research and Infrastructure
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SciDAC SUPER
Overview The Institute for Sustained Performance, Energy, and Resilience (SUPER) is a collaborative effort among researchers at several institutions with expertise in high performance compilers and other system tools, performance engineering, energy management, and resilience. It was developed under the Department of Energy’s (DOE) Scientific Discovery through Advanced Computing (SciDAC) program to ensure that DOE scientists and laboratories can successfully take advantage of the […]
Posted in Network Research and Infrastructure
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SciDAC: Nuclear Physics QCD
Overview Quantum chromodynamics (QCD) is the part of the Standard Model of Physics that describes the Strong Force that binds particles together and that binds protons and neutrons together to form the nuclei of atoms. The elementary entities of QCD are quarks and gluons. Lattice QCD (LQCD) is the term describing the dominant method for […]
Posted in Network Research and Infrastructure
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NCDS
Overview The National Consortium for Data Science (NCDS) is a collaboration of leaders in academia, industry and government formed to address the data challenges of the 21st century. The NCDS was founded as a mechanism to help the U.S. take advantage of the increasing flow of digital data in order to produce new jobs and industries, […]
Posted in Data Science and Analytics, Engagement & Outreach, Research
Tagged Consortia, UNC
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Software Architecture
Posted in Computing & Networking, Research
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HydroShare
Overview HydroShare is an online, open-source, collaborative system being developed for sharing hydrologic data and models as part of the NSF’s Software Infrastructure for Sustained Innovation (SI2) program. The goal of HydroShare is to enable scientists to easily discover and access hydrologic data and models, retrieve them to their desktop, or perform analyses in a […]
Posted in Computing & Networking, Research
Tagged Cyberinfrastructure, Duke University, earth science
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Water Science Software Institute
In 2012, RENCI and several partners received a conceptualization grant from the National Science Foundation, which could lead to the development of a multimillion-dollar Water Science Software Institute (WSSI) led by RENCI and UNC Chapel Hill with partners across the U.S.
Posted in Earth Data Science, Research
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DataBridge
Overview There are currently thousands of scientists creating millions of data sets describing an increasingly diverse matrix of social and physical phenomena. The sheer volume and diversity of data presents a new set of challenges in locating all of the data relevant to a particular line of research. The National Science Foundation’s Big Data Initiative […]
Posted in Data Science and Analytics, Research
Tagged National Science Foundation (NSF), Social Science
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REACH NC
Overview The Research, Engagement and Capabilities Hub of North Carolina (REACH NC) is a searchable Web-based tool used to access profiles of experts at North Carolina universities and other research-oriented organizations. Through the REACH NC website, users can find experts and resources needed to build research teams or consultants who can assist businesses, government […]
Posted in Engagement & Outreach, Research
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iRODS
The Integrated Rule-Oriented Data System (iRODS) is an open-source data management software in use at research organizations and government agencies worldwide. iRODS is supported and maintained by the iRODS Consortium at RENCI, a research institute of the University of North Carolina at Chapel Hill (UNC-CH). iRODS Overview The result of nearly 25 years and $25M+ […]
Posted in Data Science and Analytics, Research
Tagged Consortia, National Science Foundation (NSF)
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