Award Abstract # 2005506
Category I: Jetstream 2: Accelerating Science and Engineering On-Demand
| NSF Org: |
OAC
Office of Advanced Cyberinfrastructure (OAC)
|
| Awardee: |
TRUSTEES OF INDIANA UNIVERSITY
|
| Initial Amendment Date: |
May 29, 2020 |
| Latest Amendment Date: |
August 18, 2022 |
| Award Number: |
2005506 |
| Award Instrument: |
Cooperative Agreement |
| Program Manager: |
Robert Chadduck
rchadduc@nsf.gov
(703)292-2247
OAC
Office of Advanced Cyberinfrastructure (OAC)
CSE
Direct For Computer & Info Scie & Enginr
|
| Start Date: |
October 1, 2020 |
| End Date: |
September 30, 2025 (Estimated) |
| Total Intended Award Amount: |
$10,000,000.00 |
| Total Awarded Amount to Date: |
$24,499,999.00 |
| Funds Obligated to Date: |
FY 2020 = $11,999,999.00
FY 2021 = $10,500,001.00
FY 2022 = $1,999,999.00
|
| History of Investigator: |
-
David
Hancock
(Principal Investigator)
dyhancoc@iu.edu
-
Gwen
Jacobs
(Co-Principal Investigator)
-
Matthew
Vaughn
(Co-Principal Investigator)
-
Marlon
Pierce
(Co-Principal Investigator)
-
Nirav
Merchant
(Co-Principal Investigator)
|
| Awardee Sponsored Research Office: |
Indiana University
107 S INDIANA AVE
BLOOMINGTON
IN
US
47405-7000
(317)278-3473
|
| Sponsor Congressional District: |
09
|
| Primary Place of Performance: |
Indiana University
2709 E. 10th Street
Bloomington
IN
US
47408-2671
|
Primary Place of Performance Congressional District: |
09
|
| Unique Entity Identifier (UEI): |
YH86RTW2YVJ4
|
| Parent UEI: |
YH86RTW2YVJ4
|
| NSF Program(s): |
Innovative HPC
|
| Primary Program Source: |
040100 NSF RESEARCH & RELATED ACTIVIT
040100 NSF RESEARCH & RELATED ACTIVIT
|
| Program Reference Code(s): |
7619
|
| Program Element Code(s): |
7619
|
| Award Agency Code: |
4900
|
| Fund Agency Code: |
4900
|
| Assistance Listing Number(s): |
47.070
|
ABSTRACT

The frontiers of science are rapidly evolving in regard to availability of data to be analyzed and the breadth and variety of analytical tools that researchers use. To effectively analyze and make sense of this ever-growing cache of information, and to make it possible to leverage new artificial intelligence tools for research, researchers need on-demand, interactive, and programmatic cyberinfrastructure (CI) delivered via the cloud. Jetstream 2 is a system that will be easy to expand and reconfigure, and capable of supporting diverse modes of on-demand access and use, The system will also revolutionize the national cyberinfrastructure (CI) ecosystem by enabling “AI for Everyone” with virtual GPU capabilities and widespread outreach through the five partners, led by Indiana University. The project promises to enable the research community to use a greater variety of computational resources and to expand its reach into student populations, drawn from a broad range of disciplines, thus contributing to building the future STEM workforce.
Jetstream 2 will be an 8 PetaFLOPS (PFLOPS) cloud computing system using next-generation AMD “Milan” CPUs and the latest NVIDIA Tensor Core GPUs with 18.5 petabytes (PB) of storage. Consisting of five computational systems, Jetstream 2’s primary system will be located at Indiana University, with four modest regional systems deployed nationwide at Arizona State University (ASU), Cornell University, the University of Hawaiʻi (UH), and the Texas Advanced Computing Center (TACC). Additional partnerships with the University of Arizona, Johns Hopkins University, and University Corporation for Atmospheric Research (UCAR) will contribute to Jetstream 2’s unparalleled usability and support for a broad range of scientific efforts.
The Jetstream team has been at the forefront of training the research community to transition from batch computing methods to adopt cloud-style usage. Jetstream 2 will continue this path and will ease the transition between academic and commercial cloud computing. Some of the advanced features include push-button virtual clusters, advanced high-availability science gateways services (including commercial cloud integration), federated authentication for JupyterHubs, bare metal and virtualization within the same system through programmable CI, support for on-demand data intensive workloads in addition to on-demand computation, high-performance software-defined storage, and advanced multi-platform orchestration capabilities.
Jetstream 2 will have far-reaching societal benefits. As enhanced educational infrastructure, it will serve more students, from traditional undergraduates to domain-science experts desiring training in computational techniques, than any other NSF-funded CI resource. These students will be better equipped to fully participate in the evolving STEM workforce. In addition to enabling new research, discovery, and innovation across many disciplines, Jetstream 2 will advance the national CI ecosystem and extend the broader impacts of existing NSF investments. Jetstream 2’s “Core Services” will demonstrate a practical model of distributed cloud computing that will give academic institutions an incentive to invest their own funds in new advanced CI facilities. Although modest in scale, these facilities will represent the state of the art in reconfigurable computing. The implementation of Jetstream 2 will also demonstrate that colleges and universities can invest sustainable amounts of their own funds in highly-effective, flexible CI resources that generate a significant return on investment. In sum, Jetstream 2 will transform the national CI landscape and greatly benefit the nation.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Hancock, David Y. and Fischer, Jeremy and Lowe, John Michael and Snapp-Childs, Winona and Pierce, Marlon and Marru, Suresh and Coulter, J. Eric and Vaughn, Matthew and Beck, Brian and Merchant, Nirav and Skidmore, Edwin and Jacobs, Gwen
"Jetstream2: Accelerating cloud computing via Jetstream"
Proceedings of the 2021 Practice & Experience in Advanced Research Computing (PEARC) Conference
, 2021
https://doi.org/10.1145/3437359.3465565
Citation Details
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