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Energy-Efficient Computing: from Devices to Architectures
There is a consensus across the many industries touched by our ubiquitous computing infrastructure that future performance improvements across the board are now severely limited by the amount of energy it takes to manipulate, store, and critically, transport data.
While the limits and tradeoffs
for this performance-energy crisis vary across the full range of application platforms, they have all reached a point at which evolutionary approaches to addressing this challenge are no longer adequate.Â
While the limits and tradeoffs
for this performance-energy crisis vary across the full range of application platforms, they have all reached a point at which evolutionary approaches to addressing this challenge are no longer adequate.Â
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Truly disruptive breakthroughs are now required, and not just from any one segment of the technology stack.
Rather, due to the complexity of the challenges, revolutionary new approaches are needed at each level in the hierarchy.
Furthermore, simultaneous co-optimization across all levels is essential for the creation of new, sustainable computing platforms.
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Rather, due to the complexity of the challenges, revolutionary new approaches are needed at each level in the hierarchy.
Furthermore, simultaneous co-optimization across all levels is essential for the creation of new, sustainable computing platforms.
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These simultaneous technical and organizational challenges have never been as complex or as critically important as they are now.
The urgency of solving the multi-disciplinary technical challenges will require new methods of collaboration and organization among researchers.
The urgency of solving the multi-disciplinary technical challenges will require new methods of collaboration and organization among researchers.
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Therefore, a comprehensive and collaborative approach must be undertaken to maximize the potential for successfully identifying and implementing revolutionary solutions to break through the bottleneck of energy-constrained computational performance.
Programmers, system architects, circuit designers, chip processing engineers, material scientists, and computational chemists must all explore these new paths together to co-design an optimal solution path.Â
Programmers, system architects, circuit designers, chip processing engineers, material scientists, and computational chemists must all explore these new paths together to co-design an optimal solution path.Â
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The National Science Foundation (NSF) and the Semiconductor Research Corporation (SRC) recognize this need, and agree to embark on a new collaborative research program to support compelling research that is of paramount importance to industry, academia and society at large.
This partnership will specifically support new research to minimize the energy impacts of processing, storing, and moving data within future computing systems, and will be synergistic with other research activities that address other aspects of this overarching energy-constrained computing performance challenge.
This partnership will specifically support new research to minimize the energy impacts of processing, storing, and moving data within future computing systems, and will be synergistic with other research activities that address other aspects of this overarching energy-constrained computing performance challenge.
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The jointly supported research effort aligns with interagency initiatives and priorities, including the National Strategic Computing Initiative and the nanotechnology-inspired Grand Challenge for Future Computing.Â
Related ProgramsNational Science Foundation
Computer and Information Science and Engineering
National Science FoundationWho's Eligible
Relevant Nonprofit Program Categories
Obtain Full Opportunity Text:
NSF Publication 17-531
Additional Information of Eligibility:
*Who May Submit Proposals: Proposals may only be submitted by the following: -Universities and Colleges - Universities and two- and four-year colleges (including community colleges) accredited in, and having a campus located in, the US acting on behalf of their faculty members.
Such organizations also are referred to as academic institutions.
Full Opportunity Web Address:
http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf17531
Contact:
NSF grants.gov supportgrantsgovsupport@nsf.gov
Agency Email Description:
If you have any problems linking to this funding announcement, please contact
Agency Email:
grantsgovsupport@nsf.gov
Date Posted:
2016-12-08
Application Due Date:
2017-03-07
Archive Date:
2017-04-06
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