| NSF Org: |
OAC Office of Advanced Cyberinfrastructure (OAC) |
| Recipient: |
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| Initial Amendment Date: | August 3, 2016 |
| Latest Amendment Date: | August 30, 2018 |
| Award Number: | 1626516 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Alejandro Suarez
alsuarez@nsf.gov (703)292-7092 OAC Office of Advanced Cyberinfrastructure (OAC) CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | October 1, 2016 |
| End Date: | September 30, 2019 (Estimated) |
| Total Intended Award Amount: | $504,911.00 |
| Total Awarded Amount to Date: | $504,911.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
414 E CLARK ST VERMILLION SD US 57069-2307 (605)677-5370 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
SD US 57069-2307 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): |
Major Research Instrumentation, XD-Extreme Digital |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
The University of South Dakota (USD) will acquire, deploy, and maintain a cluster supercomputer to be named after Nobel Laureate and USD alumnus E. O. Lawrence. As a campus-wide resource available to all USD faculty, staff, postdocs, graduate students, and undergraduates as well as researchers across South Dakota, the Lawrence Cluster's key objectives are to 1) Accelerate scientific progress and reduce time to discovery, 2) Enable and accelerate scientific results not previously possible, and 3) Increase student engagement in computationally assisted research.
Initially, the Lawrence Cluster will support 12 STEM projects across 7 departments at 3 institutions in North and South Dakota, including 21 faculty, 26 postdocs, and 307 students. The system will support multidisciplinary research and research training in scientific domains such as high energy physics, the human brain, renewable energy, and materials science. It will help answer questions of considerable public interest and societal value, including the nature of dark matter, and the elusive links between the human brain and human behavior. Moreover, advances in both optical properties of nanomaterials and in design of organic functional materials are relevant to a broad range of material science and engineering problems. Results will help lay the foundation for the efficient fabrication of novel materials.
The Lawrence Cluster will have a peak theoretical performance of more than 60 TFLOPS. The system architecture includes an XSEDE-compatible software stack, general-purpose compute nodes, large memory nodes, GPU-accelerated nodes, interactive visualization nodes, a high speed InfiniBand interconnect, and a high-capacity parallel filesystem. In additional to a traditional command line interface, the Lawrence Cluster will also include a browser-based user portal for job submission and management.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Under this Major Research Instrumentation project, the University of South Dakota (USD) has acquired and deployed a supercomputer cluster as a campus-wide research instrument available to all USD faculty, staff, postdocs, graduate students, and undergraduates as well as researchers across South Dakota. The supercomputer is named “Lawrence,” after Nobel Laureate and USD alumnus E. O. Lawrence. Lawrence was designed in close consultation with USD scientists and computer architects from industry and provides thousands of processing units, specially optimized software, and more than 1000 times the memory of a traditional laptop.
Lawrence supports multidisciplinary research and research training in scientific areas such as high energy physics, the human brain, renewable energy, and materials science. Specific supported projects include: High Purity Germanium Radiation Detector Design for Dark Matter Research; The SuperCDMS Dark Matter Search Experiment; Computational Modeling of Ultrafast Electron Transfer for Solar Energy; Multi-voxel Pattern Analysis of Human Brain Imagery; Bioinformatics Methods for Analyzing High-throughput and Large-scale Biological Data; and The Western South Dakota DNA Sequencing and Genotyping Core Facility. Through regular “Introduction to Supercomputing” delivered to individual academic units including the USD Sanford School of Medicine and the USD Beacom School of business, South Dakota researchers are introduced to basic research computing concepts, including campus supercomputers.
Lawrence has introduced state-of-the-art computing infrastructure to South Dakota, and its availability has played a key role in attracting new STEM faculty to USD. As a shared resource offered free of charge, the Lawrence Supercomputer enables collaboration around the state, developing South Dakota's advanced computing community.
Last Modified: 01/28/2020
Modified by: Douglas M Jennewein
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