Organization	Org	Assoc	Overview
GLOBUS	GLOBUS	University of Chicago Argonne National Laboratory	Globus is a sustainable, non-profit business within the University of Chicago. Our low-cost subscriptions fund the ongoing development of Globus to ensure researchers can continue to rely on the critical software and services we provide. Globus was originally developed in 1997 to enable grid computing with the approach that, by connecting computing resources, the data can be freed from its initial source and made portable—even if it's huge. The Globus project has grown much since its initial beginnings based on the research of Ian Foster, Carl Kesselman, and Steve Tuecke, but we’ve stayed true to our roots in scientific research and today, services from Globus are used by tens of thousands of researchers at many hundreds of universities, laboratories, and computing facilities around the world. The Globus mission is to help researchers focus on their research rather than on IT issues, by providing users (as well as administrators of computing facilities and labs) powerful tools built for solving the problems of data-intensive research. Our software and services enable virtual organizations to collaborate across organizational boundaries. We are at the forefront of conversations about research data management, campus bridging, data planning, and models for creating sustainable software.
Integrated Rule-Oriented Data System	iRODS	University of North Carolina at Chapel Hill Renaissance Computing Institute	The iRODS Consortium brings together businesses, research organizations, universities, and government agencies to ensure the sustainability of iRODS by: • Guiding further development of the software; • Growing the user and developer communities; and • Facilitating iRODS support, education, and collaboration opportunities. The Consortium maintains and supports a commercial-grade distribution of iRODS. The iRODS Consortium fields a team of software developers, application engineers, and support staff at RENCI at the University of North Carolina at Chapel Hill. Each year, the Consortium hosts the iRODS User Group Meeting, a symposium that draws 100+ participants to Chapel Hill to share iRODS technologies and case studies.
Institute for Data Intensive Engineering and Science	JHU	John Hopkins University	The Institute for Data Intensive Engineering and Science (IDIES) will foster education and research in the development and application of data intensive technologies to problems of national interest. The institute will provide faculty, researchers and students with the structure and resources needed to accomplish these goals.
Massachusetts Green High Performance Computing Center	MGHPCC	See Overview	The MGHPCC provides world-class computational infrastructure, indispensable in the increasingly sensor and data-rich environments of modern science and engineering discovery. Today, virtually no major breakthrough — be it designing a new drug, developing new materials for clean energy or addressing climate change — can take place without computation. In silico experimentation adds a powerful new dimension to knowledge discovery in all fields, alongside theory, physical experimentation and observation. With the increasingly integrated role of computation in fundamental and applied research, the MGHPCC is a critical piece of infrastructure that will continue to fuel the world-leading innovation economy of the Commonwealth of Massachusetts through cooperative research, education and outreach activities. Collaboration between five universities - Boston University, Harvard University, Massachusetts Institute of Technology, Northeastern University, and University of Massachusetts.
National Center for Supercomputing Applications	NCSA	University of Illinois at Urbana-Champaign	The National Center for Supercomputing Applications (NCSA) is a hub of transdisciplinary research and digital scholarship where University of Illinois faculty, staff, and students, and collaborators from around the globe, unite to address research grand challenges for the benefit of science and society. The Center also provides integrated cyberinfrastructure—computing, software, data, networking, and visualization resources and expertise that are essential to the work of scientists, engineers, and scholars at the University of Illinois at Urbana-Champaign and across the country. NCSA is also an engine of economic impact for the state and the nation, helping companies address computing and data challenges and providing hands-on training for undergraduate and graduate students and post-docs.
Pittsburgh Supercomputing Center	PSC	University of Pittsburgh Carnegie Mellon University	Established in 1986, PSC is supported by several federal agencies, the Commonwealth of Pennsylvania and private industry and is a leading partner in XSEDE (Extreme Science and Engineering Discovery Environment), the National Science Foundation cyberinfrastructure program. PSC provides university, government and industrial researchers with access to several of the most powerful systems for high-performance computing, communications and data storage available to scientists and engineers nationwide for unclassified research. PSC advances the state of the art in high-performance computing, communications and data analytics and offers a flexible environment for solving the largest and most challenging problems in computational science.
Renaissance Computing Institute	RENCI	University of North Carolina at Chapel Hill	RENCI strives to be a leader in data science and an essential catalyst for data-driven discoveries leading to better health, a safer environment, and improved economic and business successes. Since 2004, RENCI has served as a living laboratory fostering data science expertise, advancing software development tools and techniques, developing effective cross-disciplinary and cross-sector engagement strategies, and establishing sustainable business models for software and services. Our work aims to stimulate long-term investments that will help position North Carolina and its universities as major forces in advancing data science research and education, and the use of data for the public good.
San Diego Supercomputer Center	SDSC	University of California, San Diego	As an Organized Research Unit of UC San Diego, The San Diego Supercomputer Center (SDSC) is considered a leader in data-intensive computing and cyberinfrastructure, providing resources, services, and expertise to the national research community including industry and academia. Cyberinfrastructure refers to an accessible, integrated network of computer-based resources and expertise, focused on accelerating scientific inquiry and discovery. SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC is a partner in XSEDE (Extreme Science and Engineering Discovery Environment), the most advanced collection of integrated digital resources and services in the world. SDSC was established as one of the nation’s first supercomputer centers under a cooperative agreement by the National Science Foundation (NSF) in collaboration with UC San Diego and GA Technologies.
Texas Advanced Computing Center	TACC	University of Texas at Austin	TACC designs and deploys the world's most powerful advanced computing technologies and innovative software solutions to enable researchers to answer complex questions like these and many more. Every day, researchers rely on our computing experts and resources to help them gain insights and make discoveries that change the world. Mission: To enable discoveries that advance science and society through the application of advanced computing technologies. TACC's environment includes a comprehensive cyberinfrastructure ecosystem of leading-edge resources in high performance computing (HPC), visualization, data analysis, storage, archive, cloud, data-driven computing, connectivity, tools, APIs, algorithms, consulting, and software. In addition, our skilled experts work with thousands of researchers on more than 3,000 projects each year.

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