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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  • (2019-08-27)
    This is the Interim Project Report 9 for the NSF XSEDE project. It includes Key Performance Indicator data and project highlights for Reporting Year 4, Report Period 1 (May 1, 2019-August 31, 2019).

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  • Marru, Suresh; Alameda, Jay; Gunathilake, Lahiru; Liu, Yan; Martin, Stuart; Middleton, Don; Palencia, Josephine; Pamidighantam, Sudhakar; Pierce, Marlon; Schwartz, Terri; Singh, Raminder; Thompson, Chris; Uram, Tom; Wang, Shaowen; Wilkins‐Diehr, Nancy; Xu, Haiying (2019-08-22)
    These use cases describe how research communities use community computing resources to power their "science gateways," supporting the specialized needs of research fields, communities of practice, and joint initiatives. ...

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  • Pierce, Marlon; Madduri, Ravi; Marru, Suresh (2019-08-21)
    These use cases describe how researchers use workflow tools to automate complex research computing processes. There are at least two motivations for automation: first, to improve research productivity by freeing researchers ...

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  • Hossain, Altaf; Jha, Shantenu; Weidner, Ole (2019-08-20)
    These use cases describe how scientific projects make use of resources from more than one public research computing community, and how a given community can support such projects. A public research computing community is ...

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  • Sinkovits, Robert S. (Extreme Science and Engineering Discovery Environment (XSEDE), 2019-08-20)
    This technical report describes the steps taken to optimize and parallelize a time series classification algorithm as part of an Extended Collaborative Support Services (ECSS) project with XSEDE researcher Ramon Huerta at ...

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