Award Abstract # 1927880
Category II : Ookami: A high-productivity path to frontiers of scientific discovery enabled by exascale system technologies
| NSF Org: |
OAC
Office of Advanced Cyberinfrastructure (OAC)
|
| Awardee: |
RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE
|
| Initial Amendment Date: |
July 11, 2019 |
| Latest Amendment Date: |
May 2, 2022 |
| Award Number: |
1927880 |
| 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, 2019 |
| End Date: |
September 30, 2024 (Estimated) |
| Total Intended Award Amount: |
$2,780,373.00 |
| Total Awarded Amount to Date: |
$6,099,835.00 |
| Funds Obligated to Date: |
FY 2019 = $3,336,446.00
FY 2020 = $1,668,226.00
FY 2021 = $556,073.00
FY 2022 = $539,090.00
|
| History of Investigator: |
-
Robert
Harrison
(Principal Investigator)
robert.harrison@stonybrook.edu
-
Barbara
Chapman
(Co-Principal Investigator)
-
Matthew
Jones
(Co-Principal Investigator)
-
Alan
Calder
(Co-Principal Investigator)
|
| Awardee Sponsored Research Office: |
SUNY at Stony Brook
WEST 5510 FRANKS MELVILLE MEMORI
STONY BROOK
NY
US
11794-0001
(631)632-9949
|
| Sponsor Congressional District: |
01
|
| Primary Place of Performance: |
SUNY at Stony Brook
NY
US
11794-0001
|
Primary Place of Performance Congressional District: |
01
|
| Unique Entity Identifier (UEI): |
M746VC6XMNH9
|
| Parent UEI: |
GMZUKXFDJMA9
|
| NSF Program(s): |
Innovative HPC
|
| Primary Program Source: |
040100 NSF RESEARCH & RELATED ACTIVIT
040100 NSF RESEARCH & RELATED ACTIVIT
040100 NSF RESEARCH & RELATED ACTIVIT
|
| Program Reference Code(s): |
|
| Program Element Code(s): |
7619
|
| Award Agency Code: |
4900
|
| Fund Agency Code: |
4900
|
| Assistance Listing Number(s): |
47.070
|
ABSTRACT

The State University of New York proposes to procure and operate for at least four years the first computer outside of Japan with the A64fx processor developed by Fujitsu for the Japanese path to exascale computing (i.e., computers capable of 10^18 operations per second). The ARM-based, multi-core, 512-bit SIMD-vector processor with ultrahigh-bandwidth memory promises to retain familiar and successful programming models while achieving very high performance for a wide range of applications including simulation and big data. The testbed significantly extends current NSF-sponsored HPC technologies and will enable the community to evaluate and demonstrate the potential of this technology for deployment in multiple settings. Through integration with NSF's Extreme Science and Engineering Discovery Environment (XSEDE), the system will be widely accessible and fully leverages existing cyber infrastructure including the XDMoD monitoring system.
What does this mean for science? Compared with the best CPUs anticipated during the deployment period, A64fx offers 2-4x better performance on memory-intensive applications such as sparse-matrix solvers found in many engineering and physics codes. For nearly all other applications, performance is also better or competitive. This transformational performance should be available nearly out of the box, with additional performance possible from tuning. To the scientist or engineer this means faster time to solution with significantly less programmer effort. The target class of applications to be enabled are memory-bandwidth intensive with 32GB/node memory, with significant gains anticipated for many other applications. Analysis of XSEDE workload shows 86% of all jobs (85% cycles) will fit within the available memory per node and that the majority of jobs are memory-bandwidth intensive. Finally, we have concrete plans to substantially broaden participation in science and engineering research by partnering with external organizations at the institutional, regional, and national levels.
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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Michalowicz, Benjamin and Raut, Eric and Kang, Yan and Curtis, Tony and Chapman, Barbara and Oryspayev, Dossay
"Comparing the behavior of OpenMP Implementations with various Applications on two different Fujitsu A64FX platforms"
PEARC '21: Practice and Experience in Advanced Research Computing
, 2021
https://doi.org/10.1145/3437359.3465592
Citation Details
Burford, Andrew and Calder, Alan and Carlson, David and Chapman, Barbara and Coskun, Firat and Curtis, Tony and Feldman, Catherine and Harrison, Robert and Kang, Yan and Michalowicz, Benjamin and Raut, Eric and Siegmann, Eva and Wood, Daniel and DeLeon, R
"Ookami: Deployment and Initial Experiences"
PEARC '21: Practice and Experience in Advanced Research Computing
, 2021
https://doi.org/10.1145/3437359.3465578
Citation Details
Feldman, Catherine and Michalowicz, Benjamin and Siegmann, Eva and Curtis, Tony and Calder, Alan and Harrison, Robert
"Experiences with Porting the FLASH Code to Ookami, an HPE Apollo 80 A64FX Platform"
HPCAsia 2022 Workshop: International Conference on High Performance Computing in Asia-Pacific Region Workshops
, 2022
https://doi.org/10.1145/3503470.3503478
Citation Details
Bari, Md Abdullah and Chapman, Barbara and Curtis, Anthony and Harrison, Robert J. and Siegmann, Eva and Simakov, Nikolay A. and Jones, Matthew D.
"A64FX performance: experience on Ookami"
2021 IEEE International Conference on Cluster Computing (CLUSTER)
, 2021
https://doi.org/10.1109/Cluster48925.2021.00106
Citation Details
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