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}
}
Works referenced in this record:
Adaptive configuration of a neural network device
patent-application, November 2015
- Bohn, Richard Esten; Li, Peng; Tetzlaff, David
- US Patent Application 14/522192; 20150324685
Neuromorphic compiler
patent, March 2016
- Minkovich, Kirill; Nogin, Aleksey; Cho, Yonghoe
- US Patent Document 9,275,328
Methods, systems and computer program products for neuromorphic graph compression using associative memories
patent-application, October 2015
- Aparicio, IV, Manuel
- US Patent Application 14/687063; 20150294217
Neuromorphic event-driven neural computing architecture in a scalable neural network
patent, December 2014
- Akopyan, Filipp A.; Arthur, John V.; Manohar, Rajit
- US Patent Document 8,909,576
Functional synthesis of networks of neurosynaptic cores on neuromorphic substrates
patent-application, August 2019
- Cassidy, Andrew S.; Datta, Pallab; Flickner, Myron D.
- US Patent Application 15/884105; 20190236444
Thermodynamic computing
patent-application, January 2015
- Nugent, Alex; Molter, Timothy
- US Patent Application 14/323451; 20150019468
Hardware accelerator template and design framework for implementing recurrent neural networks
patent-application, July 2018
- Nurvitadhi, Eriko; Marr, Deborah
- US Patent Application 15/396520; 20180189638
Distributed, event-based computation using neuromorphic cores
patent-application, August 2019
- Amir, Arnon; Berg, David; Datta, Pallab
- US Patent Application 15/908459; 20190266481
Output array neuron conversion and calibration for analog neural memory in deep learning artificial neural network
patent-application, November 2020
- Tran, Hieu Van; Trinh, Stephen; Vu, Thuan
- US Patent Application 16/449205; 20200349422
Unified nonlinear modeling approach for machine learning and artificial intelligence (attractor assisted AI)
patent-application, April 2019
- Ashrafi, Solyman
- US Patent Application 16/161840; 20190114557
Method and apparatus for constructing a neuroscience-inspired artificial neural network
patent-application, April 2015
- Birdwell, J. Douglas; Schuman, Catherine
- US Patent Application 14/513280; 20150106310
Method and apparatus for neuroenhancement to enhance emotional response
patent-application, July 2019
- Poltorak, Alexander
- US Patent Application 16/237483; 20190200888
Computing architecture for operating on sequential data
patent, February 2017
- Follett, David R.; Follett, Pamela L.
- US Patent Document 9,563,599
Neural processing element for use in a neural network
patent-application, January 2007
- Lightowler, Neil
- US Patent Application 11/445484; 20070022063