2335448
Project Grant
Overview
Grant Description
SBIR PHASE I: OSCILLATOR PROCESSING UNIT - PHYSICAL RESERVOIR COMPUTING ON THE EDGE -THE BROADER IMPACT OF THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE I PROJECT WILL RESULT FROM CREATING THE OSCILLATOR PROCESSING UNIT (OPU), A COMPUTATIONAL PROCESSOR THAT WOULD BE A DISRUPTIVE TECHNOLOGY FOR ANALOG COMPUTING DEVICES OPERATING AT THE NETWORK EDGE.
THE EDGE COMPUTING DEVICE MARKET IS PROJECTED TO REACH $157B BY 2032. EXPANDING ON THIS, MACHINE LEARNING, ESPECIALLY DEEP NEURAL NETWORKS (DNNS), RELIES ON CLOUD INFRASTRUCTURE TO CONDUCT MASSIVE COMPUTATION FOR BOTH MODEL TRAINING AND INFERENCE, SO OPUS WOULD HAVE BENEFICIAL SECURITY AND ENVIRONMENTAL IMPACTS SINCE THEY WOULD REDUCE RELIANCE ON THE CLOUD.
THE PROPOSED OPUS COULD OVERCOME THE VON NEUMANN BOTTLENECK WHILE ALSO ENABLING A SMALLER FORM FACTOR, INCREASED ENERGY EFFICIENCY, AND FASTER SPEEDS. AS THE US SEEKS TO REDUCE RELIANCE ON FOREIGN MICROCHIP MANUFACTURERS, OPUS COULD ALSO PROVIDE A POWERFUL, VIABLE ALTERNATIVE THAT COULD BE MANUFACTURED IN THE US. THE TECHNOLOGICAL IMPACTS OF THIS PROJECT WOULD RESULT FROM A MORE FUNDAMENTAL UNDERSTANDING OF HOW OSCILLATORS, WHICH ARE ONE OF THE MOST PROLIFIC DYNAMIC SYSTEMS IN THE UNIVERSE, CAN ALSO BE RECONSIDERED AS PHYSICAL COMPUTERS.
THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE I PROJECT SEEKS TO LEVERAGE TWO TYPES OF OSCILLATOR-BASED NEUROMORPHIC COMPUTERS. BY EXPLORING THE DYNAMICS OF OSCILLATOR COMPUTERS, AN IMPROVED UNDERSTANDING OF HOW NONLINEAR DYNAMICS ARE TRANSLATED INTO COMPUTATIONAL ABILITY WILL BE DEVELOPED. FURTHER, THIS IS EXPECTED TO PROVIDE INSIGHTS INTO HOW OPTIMAL OSCILLATOR CORES COULD BE CONSTRUCTED FOR OSCILLATOR PROCESSING UNITS (OPUS).
THESE ENHANCED OPUS WILL CONVERGE TWO SEPARATE METHODS OF ANALOG COMPUTING: PHYSICAL RESERVOIR COMPUTERS AND ADAPTIVE OSCILLATORS. ULTIMATELY, SINCE AN OSCILLATOR CORE?S MEMORY AND PROCESSING ARE NOT INDEPENDENT, OPUS COULD PROVIDE A SOLUTION TO THE VON NEUMANN BOTTLENECK. THIS WORK WOULD ESTABLISH A FUNDAMENTAL SCIENTIFIC UNDERSTANDING OF THE LINK BETWEEN PHYSICS AND INFORMATION.
LEVERAGING THESE TWO DISPARATE FORMS OF NEUROMORPHIC INTELLIGENCE WILL ALSO BE THE BASIS OF A POWERFUL OSCILLATOR PROCESSING UNIT CAPABLE OF ACTING AS BOTH AN AI INFERENCE PROCESSOR AND A GENERALIZED COMPUTING PROCESSOR. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
THE EDGE COMPUTING DEVICE MARKET IS PROJECTED TO REACH $157B BY 2032. EXPANDING ON THIS, MACHINE LEARNING, ESPECIALLY DEEP NEURAL NETWORKS (DNNS), RELIES ON CLOUD INFRASTRUCTURE TO CONDUCT MASSIVE COMPUTATION FOR BOTH MODEL TRAINING AND INFERENCE, SO OPUS WOULD HAVE BENEFICIAL SECURITY AND ENVIRONMENTAL IMPACTS SINCE THEY WOULD REDUCE RELIANCE ON THE CLOUD.
THE PROPOSED OPUS COULD OVERCOME THE VON NEUMANN BOTTLENECK WHILE ALSO ENABLING A SMALLER FORM FACTOR, INCREASED ENERGY EFFICIENCY, AND FASTER SPEEDS. AS THE US SEEKS TO REDUCE RELIANCE ON FOREIGN MICROCHIP MANUFACTURERS, OPUS COULD ALSO PROVIDE A POWERFUL, VIABLE ALTERNATIVE THAT COULD BE MANUFACTURED IN THE US. THE TECHNOLOGICAL IMPACTS OF THIS PROJECT WOULD RESULT FROM A MORE FUNDAMENTAL UNDERSTANDING OF HOW OSCILLATORS, WHICH ARE ONE OF THE MOST PROLIFIC DYNAMIC SYSTEMS IN THE UNIVERSE, CAN ALSO BE RECONSIDERED AS PHYSICAL COMPUTERS.
THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE I PROJECT SEEKS TO LEVERAGE TWO TYPES OF OSCILLATOR-BASED NEUROMORPHIC COMPUTERS. BY EXPLORING THE DYNAMICS OF OSCILLATOR COMPUTERS, AN IMPROVED UNDERSTANDING OF HOW NONLINEAR DYNAMICS ARE TRANSLATED INTO COMPUTATIONAL ABILITY WILL BE DEVELOPED. FURTHER, THIS IS EXPECTED TO PROVIDE INSIGHTS INTO HOW OPTIMAL OSCILLATOR CORES COULD BE CONSTRUCTED FOR OSCILLATOR PROCESSING UNITS (OPUS).
THESE ENHANCED OPUS WILL CONVERGE TWO SEPARATE METHODS OF ANALOG COMPUTING: PHYSICAL RESERVOIR COMPUTERS AND ADAPTIVE OSCILLATORS. ULTIMATELY, SINCE AN OSCILLATOR CORE?S MEMORY AND PROCESSING ARE NOT INDEPENDENT, OPUS COULD PROVIDE A SOLUTION TO THE VON NEUMANN BOTTLENECK. THIS WORK WOULD ESTABLISH A FUNDAMENTAL SCIENTIFIC UNDERSTANDING OF THE LINK BETWEEN PHYSICS AND INFORMATION.
LEVERAGING THESE TWO DISPARATE FORMS OF NEUROMORPHIC INTELLIGENCE WILL ALSO BE THE BASIS OF A POWERFUL OSCILLATOR PROCESSING UNIT CAPABLE OF ACTING AS BOTH AN AI INFERENCE PROCESSOR AND A GENERALIZED COMPUTING PROCESSOR. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE I", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23515
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Atwood,
Oklahoma
74827-9738
United States
Geographic Scope
Single Zip Code
Lab2701 was awarded
Project Grant 2335448
worth $272,615
from National Science Foundation in March 2024 with work to be completed primarily in Atwood Oklahoma United States.
The grant
has a duration of 1 year and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Project Grant was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs.
SBIR Details
Research Type
SBIR Phase I
Title
SBIR Phase I: Oscillator Processing Unit - Physical Reservoir Computing on the Edge
Abstract
The broader impact of this Small Business Innovation Research (SBIR) Phase I project will result from creating the Oscillator Processing Unit (OPU), a computational processor that would be a disruptive technology for analog computing devices operating at the network edge. The edge computing device market is projected to reach $157B by 2032. Expanding on this, machine learning, especially deep neural networks (DNNs), relies on cloud infrastructure to conduct massive computation for both model training and inference, so OPUs would have beneficial security and environmental impacts since they would reduce reliance on the cloud. The proposed OPUs could overcome the von Neumann bottleneck while also enabling a smaller form factor, increased energy efficiency, and faster speeds. As the US seeks to reduce reliance on foreign microchip manufacturers, OPUs could also provide a powerful, viable alternative that could be manufactured in the US. The technological impacts of this project would result from a more fundamental understanding of how oscillators, which are one of the most prolific dynamic systems in the universe, can also be reconsidered as physical computers.
This Small Business Innovation Research (SBIR) Phase I project seeks to leverage two types of oscillator-based neuromorphic computers. By exploring the dynamics of oscillator computers, an improved understanding of how nonlinear dynamics are translated into computational ability will be developed. Further, this is expected to provide insights into how optimal oscillator cores could be constructed for Oscillator Processing Units (OPUs). These enhanced OPUs will converge two separate methods of analog computing: physical reservoir computers and adaptive oscillators. Ultimately, since an oscillator core’s memory and processing are not independent, OPUs could provide a solution to the von Neumann bottleneck. This work would establish a fundamental scientific understanding of the link between physics and information. Leveraging these two disparate forms of neuromorphic intelligence will also be the basis of a powerful Oscillator Processing Unit capable of acting as both an AI inference processor and a generalized computing processor.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Topic Code
CH
Solicitation Number
NSF 23-515
Status
(Complete)
Last Modified 3/5/24
Period of Performance
3/1/24
Start Date
2/28/25
End Date
Funding Split
$272.6K
Federal Obligation
$0.0
Non-Federal Obligation
$272.6K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2335448
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
RS4ATN5KZXS4
Awardee CAGE
9FX40
Performance District
OK-02
Senators
James Lankford
Markwayne Mullin
Markwayne Mullin
Modified: 3/5/24