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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