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Title: Neuromorphic computing architecture with dynamically accessible contexts

Abstract

Various technologies pertaining to allocating computing resources of a neuromorphic computing system are described herein. Subgraphs of a neural algorithm graph to be executed by the neuromorphic computing system are identified. The subgraphs are each executed by a group of neuron circuits serially. Output data generated by execution of the subgraphs are provided to the same or a second group of neuron circuits at a same time or with associated timing data indicative of a time at which the output data was generated. The same or second group of neuron circuits performs one or more processing operations based upon the output data.

Inventors:
; ; ; ;
Issue Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1823818
Patent Number(s):
10970630
Application Number:
15/624,271
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM); Lewis Rhodes Labs, Inc. (Concord, MA)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
DOE Contract Number:  
NA0003525
Resource Type:
Patent
Resource Relation:
Patent File Date: 06/15/2017
Country of Publication:
United States
Language:
English

Citation Formats

Aimone, James Bradley, Naegle, John H., Donaldson, Jonathon W., Follett, David, and Follett, Pamela L. Neuromorphic computing architecture with dynamically accessible contexts. United States: N. p., 2021. Web.
Aimone, James Bradley, Naegle, John H., Donaldson, Jonathon W., Follett, David, & Follett, Pamela L. Neuromorphic computing architecture with dynamically accessible contexts. United States.
Aimone, James Bradley, Naegle, John H., Donaldson, Jonathon W., Follett, David, and Follett, Pamela L. Tue . "Neuromorphic computing architecture with dynamically accessible contexts". United States. https://www.osti.gov/servlets/purl/1823818.
@article{osti_1823818,
title = {Neuromorphic computing architecture with dynamically accessible contexts},
author = {Aimone, James Bradley and Naegle, John H. and Donaldson, Jonathon W. and Follett, David and Follett, Pamela L.},
abstractNote = {Various technologies pertaining to allocating computing resources of a neuromorphic computing system are described herein. Subgraphs of a neural algorithm graph to be executed by the neuromorphic computing system are identified. The subgraphs are each executed by a group of neuron circuits serially. Output data generated by execution of the subgraphs are provided to the same or a second group of neuron circuits at a same time or with associated timing data indicative of a time at which the output data was generated. The same or second group of neuron circuits performs one or more processing operations based upon the output data.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {4}
}

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