NASA SBIR 2020-II Solicitation

Proposal Summary

Proposal Information

Proposal Number:
20-2- H6.22-6259
Phase 1 Contract #:
80NSSC20C0370
Subtopic Title:
Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and Cognition
Proposal Title:
Efficient Neuromorphic Processor Design for Autonomous Space Operation

Small Business Concern

   
Firm:
          
Nanomatronix, LLC
          
   
Address:
          
700 Research Center Boulevard, Fayetteville, AR 72701
          
   
Phone:
          
(479) 935-3374                                                                                                                                                                                
          

Principal Investigator:

   
Name:
          
Dr. Matthew Leftwich
          
   
E-mail:
          
mleftwich@nanomatronix.com
          
   
Address:
          
700 Research Center Boulevard, AR 72701 - 7175
          
   
Phone:
          
(479) 215-9438                                                                                                                                                                                
          

Business Official:

   
Name:
          
Dr. Matthew Leftwich
          
   
E-mail:
          
mleftwich@nanomatronix.com
          
   
Address:
          
700 Research Center Boulevard, AR 72701 - 7175
          
   
Phone:
          
(479) 215-9438                                                                                                                                                                                
          

Summary Details:

   
Estimated Technology Readiness Level (TRL) :                                                                                                                                                          
Begin: 3
End: 7
          
          
     
Technical Abstract (Limit 2000 characters, approximately 200 words):

It has been widely received that the recent success of artificial intelligence (AI) is built on three cornerstones: the advance of algorithms, the acquisition of big data, and the availability of high computing power. To further improve the data processing capability and efficiency, researchers, in general, explore from three orthogonal and complementary aspects: algorithm simplification and compression, computing architectures optimized for specific applications, and novel nano-devices that possess unique electrical properties, e.g., synapse- or neuro-alike behavior. These practices are respectively pursued by research societies of machine learning, computer architecture, and solid-state circuit and device. There lacks thorough and sufficient communications and coordination in between. As an example, the quantization of deep neural network (DNN) models often ignores the physical constraints on nano-devices like resistive memory (ReRAM, aka memristor), whose resistance suffers from different variation levels at different resistance values. The higher resistance level can also minimize the power consumption due to the reduced amplitude of the current participating in the computation.

 

Carefully optimizing the quantization scheme of DNNs can achieve both high computational robustness and low power consumption of the ReRAM-based neuromorphic processor.  Therefore, the Nanomatronix and University of Arkansas team propose to develop key enabling techniques for designing an efficient and robust ReRAM-based neuromorphic processor at the circuit, architecture, and algorithm levels, and to explore systematic approaches of vertically integrating these techniques through interactive cross-layer optimizations.

          
          
     
Potential NASA Applications (Limit 1500 characters, approximately 150 words):

Flight Computing: The main objects of this TA are to “increase onboard autonomy and enable large-scale data triage to support more capable instruments” and “support reliable onboard processing in extreme environments to enable new exploration missions.”

Ground Computing: The main objects of this TA are to “support 1,000X larger mission computations to enable high-fidelity simulation and large-scale data analysis” and “demonstrate efficient solution of complex NASA problems through quantum and cognitive computing.”

 

          
          
     
Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):

Fast and efficient processing platforms are crucial to the IT revolution. They are poised to meet the performance needs of many important applications such as graphics, financial and scientific modeling, biomonitoring, national security scanning, intelligent transportation, networking, multimedia and wireless infrastructure. 

          
          
     
Duration:     24
          
          

Form Generated on 05/13/2021 14:43:52