| NSF Org: |
CCF Division of Computing and Communication Foundations |
| Recipient: |
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| Initial Amendment Date: | August 5, 2009 |
| Latest Amendment Date: | August 5, 2009 |
| Award Number: | 0903430 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Hong Jiang
CCF Division of Computing and Communication Foundations CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | August 1, 2009 |
| End Date: | July 31, 2013 (Estimated) |
| Total Intended Award Amount: | $270,000.00 |
| Total Awarded Amount to Date: | $270,000.00 |
| 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): | MCDA |
| 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 objective of the proposed research is to design innovative algorithms and tools for energy-aware scheduling and mapping of tasks onto homogeneous and heterogeneous multi-core processor (HeMP) architectures. The research proposes to develop a new theoretical and experimental framework, called multi-element and multi-objective (MEMO) optimization, that will simultaneously and flexibly optimize the goals of energy minimization and performance maximization while taking into account constraints due to multiple architectural elements such as cores and caches of current and emerging multi-core processors. The project will develop CorePac, a toolkit that will provide a flexible and friendly environment to schedule task-parallel applications on HeMPs under various performance/energy trade-offs and demonstrate the usefulness of the algorithms and CorePac. Benchmarking of the algorithms will be conducted using a diverse suite of scientific, multimedia, and bioinformatics applications.
Through its production of new algorithms and software toolkit, this work will have a direct and immediate impact on a number of communities. At the collaborating institutions, this project will have an educational impact by involving undergraduate and graduate students. This situation also presents excellent opportunities for interaction with postdoctoral researchers as well as with colleagues in academic, government and industry research labs. The CorePac software toolkit will be the basis for subsequent development of production quality software for energy-performance tradeoffs. Developing means to manage energy consumption in computers is imperative from both environmental and economical perspectives.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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