| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | August 27, 2011 |
| Latest Amendment Date: | August 27, 2011 |
| Award Number: | 1117261 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Marilyn McClure
mmcclure@nsf.gov (703)292-5197 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | August 15, 2011 |
| End Date: | July 31, 2014 (Estimated) |
| Total Intended Award Amount: | $200,000.00 |
| Total Awarded Amount to Date: | $200,000.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
1523 UNION RD RM 207 GAINESVILLE FL US 32611-1941 (352)392-3516 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
1523 UNION RD RM 207 GAINESVILLE FL US 32611-1941 |
| 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): |
Special Projects - CNS, CSR-Computer Systems Research |
| 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 continuing decline of conventional fossil fuel has resulted in increasing energy costs all around the world. Meanwhile, fossil fuel-induced greenhouse gas emissions have profound implications for our environment. Renewable energy is generated from natural resources that are naturally replenished. Photovoltaic (PV) generation is gaining increased popularity due to its advantages such as absence of fuel cost, low maintenance, and no noise and wear due to the absence of moving parts. Designing renewable energy driven computer systems poses various challenges in terms of intelligent control strategies for better energy utilization, optimizations for reducing overhead and improving reliability. The proposed research will develop novel enabling technologies for high-performance computer architectures (e.g. multi-core CPU/GPU) that can achieve high efficiency and dependability in utilizing renewable energy. The research goal includes GPU power management schemes that can maximize a solar panel?s total energy output using load-matching and intelligently allocate the available solar power across multiple cores and threads so that maximum workload performance can be achieved. The proposed research project can greatly contribute to enabling high-performance computing systems to stay on track with its historic scaling and hence benefit numerous real-life applications. This project also contributes to society through engaging under-represented groups, research infrastructure dissemination for education and training, and outreach to renewable energy industries and research community.
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.
The continuing decline of conventional fossil fuel has resulted in increasing energy costs all around the world. Meanwhile, fossil fuel-induced greenhouse gas emissions have profound implications for our environment. Renewable energy is generated from natural resources that are naturally replenished. Photovoltaic (PV) generation is gaining increased popularity due to its advantages such as absence of fuel cost, low maintenance, and no noise and wear-out due to the absence of moving parts. Designing renewable energy driven computer systems poses various challenges in terms of intelligent control strategies for better energy utilization, optimizations for reducing overhead and improving reliability. The objective of this project is to develop novel enabling technologies for high-performance computer architectures (e.g. multi-core CPU/GPU) and systems (e.g. HPC servers) that can achieve high efficiency and dependability in utilizing renewable energy.
This research project has produced 12 conference (IGCC-2014, MASCOTS (a, b)-2014, ICAC-2014, MICRO-2013, ISLPED-2013, RTCAS-2013, HPCA-2013, ISCA-2012, IISWC-2011, SIGMETRICS-2011, HPCA-2011 (Best Paper Award)) and 2 journal (CAL-2014, JCST-2014) publications. The graduated students have traveled to the topic conferences to present their work to the research community. Two Ph.D. students have participated into this project and have successfully defended their dissertation/thesis based on this research. A high school student also participated in this research project. An undergraduate student was also involved.
The overall goal of this project is to enable high-performance computing systems to stay on track with its historic scaling and hence benefit numerous real-life applications. In addition, it aims at contributing to society through engaging under-represented groups, research infrastructure dissemination for education and training, and outreach to renewable energy industries and research community.
Last Modified: 10/29/2014
Modified by: Tao Li
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