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XSEDE: Extreme Science and Engineering Discovery Environment
The Extreme Science and Engineering Discovery Environment (XSEDE) is the most advanced, powerful, and robust collection of integrated advanced digital resources and services in the world. It is a single virtual system that scientists can use to interactively share computing resources, data, and expertise.
Scientists and engineers around the world use these resources and services—things like supercomputers, collections of data, and new tools—to make our lives healthier, safer, and better. XSEDE, and the experts who lead the program, will make these resources easier to use and help more people use them. Find out more about what scientists will do with the XSEDE infrastructure.
The five-year, $121-million project is supported by the National Science Foundation. It replaces and expands on the NSF TeraGrid project. More than 10,000 scientists used the TeraGrid to complete thousands of research projects, at no cost to the scientists. That same sort of work—only in more detail, generating more new knowledge and improving our world in an even broader range of fields—continues with XSEDE.
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Recent Additions
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(2020-08-24)This is the Interim Project Report 12 (IPR12) for the NSF XSEDE project. It includes Key Performance Indicator data and project highlights for Reporting Year 5, Report Period 1 (May 1-July 31, 2020).
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PDF (11MB)
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(2020-08-20)
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PDF (2MB)
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(2020-05-20)This is the Annual Report for Report Year 4 (RY4) and Program Plan for Project Year 10 (PY10) for the NSF XSEDE project. It includes Key Performance Indicator data and project highlights for Reporting Year 4 (May 1, ...
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PDF (4MB)
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(2020-05-21)This document was compiled to help the allocation administrators at XSEDE Resource Allocation Service (XRAS) client sites understand the features provided by the system. XRAS is a suite of tools for managing an allocation ...
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PDF (430kB)
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(2020-04-01)This report summarizes the overall usage of XSEDE-allocated computing resources by researchers from across NSF's Mathematical Sciences Directorate.
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PDF (6MB)