Mike Frank's Funding Proposals:
Proposals to Investors:
-
Realistic
Theoretical Models of Nanocomputers
-
Abstract/proposal submitted Aug. 2001 to the NanoInvestor
2002 conference.
Proposals to Industry:
-
Proposal Abstract
for the Development of a Cost-Effective Adiabatic Digital System Technology
for Low-Power Computing Applications (Word)
-
Generic outline of an industry proposal.
-
Adiabatic Logic for High-Bandwidth Networking Equipment: A Proposed Feasibility
Study (Word,
PS,
PDF)
-
Preliminary proposal to Nortel Networks' Global External Research program.
Proposals to NSF:
-
Nanoelectronics Science and Engineering Center (Word,
PS,
PDF)
-
A large multi-university project spearheaded by Clemson University.
I am one of many participants in this proposal.
-
Thermodynamically
Efficient Models and Architectures for Maximally Scalable Computing
(PDF file, 1.07 MB)
-
Proposal for an NSF CAREER
award.
-
MEMS-based resonant
power supplies for driving ultra-low-power adiabatic logic circuits
-
Draft abstract, probably for an SGER proposal to the NSF,
ENG
directorate, ECS (Electrical
& Communications Systems) division, EPDT
(Electronics, Photonics & Device Technologies) and/or IS
(Integrative Systems) programs.
-
Maximally Scalable
Computing via Physics-Based Models & Architectures
-
My working abstract for upcoming reversible-computing related NSF proposals,
particularly for a CAREER proposal.
Proposals to DARPA:
-
Practical Energy-Recycling
Computation for Mobile Tactical Applications
-
Pre-proposal submitted to DARPA's Advanced
Technologies program, March 2000. (PDF format.)
-
Dynamic Optimization
of Semi-Adiabatic Power-Managed Architectures
-
Pre-proposal submitted to DARPA's Power-Aware
Computing and Communication program, October '99. (Postscript format.)
Proposals to academie:
-
Research and Teaching
Plan
-
My preliminary proposal to start up a new, long-term research and educational
program, to further study the theory and practical application of reversible
computing and related techniques, and to train graduate student researchers
in areas such as low-power computing, the thermodynamics of large-scale
parallel computing, and future high-performance computing technologies.