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.
Browse Collections of Items
(2019-11)This book highlights research enabled by the XSEDE project in 2019. The research published in this book works toward solving some of the greatest issues facing the world today.
(2019-10-23)This document covers the tasks and activities required to administer the XSEDE allocations process. The document focuses on the tasks and efforts required by XSEDE staff to translate, interpret and implement the XSEDE ...
(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).
(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. ...
(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 ...