NSF Funds Five New XSEDE-Allocated Systems

August 7, 2020

Aug. 7, 2020 — This summer, five new National Science Foundation (NSF)-funded advanced computing systems have been awarded to partner institutions across the country, all with their own unique specialties and applications. Once deployed, all of these systems will be primarily allocated through XSEDE to help connect researchers, regardless of physical location in the United States, to the system that best suits their research needs.

“The recent announcements of awards by the NSF is a clear indicator of the NSF’s re-commitment to providing critical advanced research computing capabilities to enable research in the United States and beyond,” said John Towns, principal investigator and project director of XSEDE. “These resources will enable research across all fields of scholarly pursuit and XSEDE stands ready to engage researchers in harnessing these resources.”.

These new machines continue XSEDE’s robust demonstrated tradition of world-class, cutting-edge research, including a commitment to emerging domains like Artificial Intelligence, Big Data, Machine Learning, and more.

Read more about each system here, and click the system name to read the full press release:

Jetstream 2 (Indiana University / Texas Advanced Computing Center / University of Arizona / Arizona State University / Johns Hopkins University, University Corporation for Atmospheric Research / Cornell University / University of Hawaii)

The NSF has awarded a $10 million grant to deploy Jetstream 2, a distributed cloud computing system to support on-demand research, artificial intelligence, and enhanced large-scale data analyses for the nation. The project is led by the Pervasive Technology Institute at Indiana University. Jetstream 2 is a follow-on project to Jetstream, which was funded in 2014 as the NSF’s first production science and engineering research cloud system for the nation.

Delta (National Center for Supercomputing Applications)

NCSA will integrate Delta into the national cyberinfrastructure ecosystem through XSEDE. Integration into XSEDE allows Delta to leverage the substantial portfolio of services and support offered therein and together deliver unprecedented advances in researcher productivity. This collaboration will promote synergy among multi-site workflows that include campus, national, and commercial cloud resources.

Anvil (Purdue University)

Anvil, which is funded by a $10 million award from the NSF, will significantly increase the capacity available to XSEDE, which Purdue has been a partner for the past nine years. Anvil will enter production in 2021 and will serve researchers for five years. Additional funding from the NSF will support Anvil’s operations and user support.

Neocortex (Pittsburgh Supercomputing Center)

$5 million NSF award will allow PSC to deploy a unique high-performance artificial intelligence (AI) system. Neocortex will introduce fundamentally new hardware to greatly speed AI research. PSC, a joint research organization of Carnegie Mellon University and the University of Pittsburgh, will build the new supercomputer in partnership with Cerebras Systems and Hewlett Packard Enterprise .

Voyager (San Diego Supercomputing Center)

The NSFhas awarded DSC at UC San Diego a $5 million grant to develop a high-performance resource for conducting artificial intelligence research across a wide swath of science and engineering domains. Called Voyager, the system will be the first-of-its-kind available in the NSF resource portfolio. In addition to the $5 million acquisition award, an equivalent amount of funding is expected to support community engagement and operation of the resource.

About XSEDE

The Extreme Science and Engineering Discovery Environment’s (XSEDE) Mission: Substantially enhance the productivity of a growing community of scholars, researchers, and engineers through access to advanced digital services that support open research; and coordinate and add significant value to the leading cyberinfrastructure resources funded by the NSF and other agencies.


Source: XSEDE

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