Devices and methods for increasing the speed and efficiency at which a computer is capable of modeling a plurality of random walkers using a particle method
Abstract
A method for increasing a speed or energy efficiency at which a computer is capable of modeling a plurality of random walkers. The method includes defining a virtual space in which a plurality of virtual random walkers will move among different locations in the virtual space. The method also includes either assigning a corresponding set of ringed neurons in a spiking neural network to a corresponding virtual random walker, or assigning a corresponding set of ringed neurons to a point in the virtual space. Movement of a given virtual random walker is tracked by decoding differences between states of individual neurons in a corresponding given set of ringed neurons. A virtual random walk of the plurality of virtual random walkers is executed using the spiking neural network.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1892731
- Patent Number(s):
- 11281964
- Application Number:
- 16/020,619
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- 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: 06/27/2018
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Aimone, James Bradley, Severa, William Mark, Lehoucq, Richard B., and Parekh, Ojas D. Devices and methods for increasing the speed and efficiency at which a computer is capable of modeling a plurality of random walkers using a particle method. United States: N. p., 2022.
Web.
Aimone, James Bradley, Severa, William Mark, Lehoucq, Richard B., & Parekh, Ojas D. Devices and methods for increasing the speed and efficiency at which a computer is capable of modeling a plurality of random walkers using a particle method. United States.
Aimone, James Bradley, Severa, William Mark, Lehoucq, Richard B., and Parekh, Ojas D. Tue .
"Devices and methods for increasing the speed and efficiency at which a computer is capable of modeling a plurality of random walkers using a particle method". United States. https://www.osti.gov/servlets/purl/1892731.
@article{osti_1892731,
title = {Devices and methods for increasing the speed and efficiency at which a computer is capable of modeling a plurality of random walkers using a particle method},
author = {Aimone, James Bradley and Severa, William Mark and Lehoucq, Richard B. and Parekh, Ojas D.},
abstractNote = {A method for increasing a speed or energy efficiency at which a computer is capable of modeling a plurality of random walkers. The method includes defining a virtual space in which a plurality of virtual random walkers will move among different locations in the virtual space. The method also includes either assigning a corresponding set of ringed neurons in a spiking neural network to a corresponding virtual random walker, or assigning a corresponding set of ringed neurons to a point in the virtual space. Movement of a given virtual random walker is tracked by decoding differences between states of individual neurons in a corresponding given set of ringed neurons. A virtual random walk of the plurality of virtual random walkers is executed using the spiking neural network.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2022},
month = {3}
}
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Works referenced in this record:
3D random walk based segmentation for lung tumor delineation in PET imaging
conference, May 2012
- Onoma, D. P.; Ruan, S.; Gardin, I.
- 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
Converged Communication with Web 2.0 Based Screen Triggers
patent-application, November 2011
- Akhtar, Haseeb; Nandlall, Vishwamitra
- US Patent Application 12/897,898; 2011/0276624 Al
Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
journal, December 2017
- Rueckauer, Bodo; Lungu, Iulia-Alexandra; Hu, Yuhuang
- Frontiers in Neuroscience, Vol. 11
Diffusion of water in swollen poly(vinyl alcohol) membranes studied by molecular dynamics simulation
journal, April 1998
- Müller-Plathe, Florian
- Journal of Membrane Science, Vol. 141, Issue 2
Interface to Leaky Spiking Neurons
patent-application, January 2019
- Haiut, Moshe
- US Patent Application 16/021,147; 2019/0013037 Al
Monte-Carlo planning for unit control in StarCraft
conference, October 2012
- Wang, Zhe; Nguyen, Kien Quang; Thawonmas, Ruck
- The 1st IEEE Global Conference on Consumer Electronics 2012
Testing the random walk hypothesis through robust estimation of correlation
journal, January 2008
- Semenov, Andrei
- Computational Statistics & Data Analysis, Vol. 52, Issue 5
Neural Network with Reconfigurable Sparse Connectivity and Online Learning
patent-application, July 2018
- Sumbul, Huseyin Ekin; Chen, Gregory K.; Kumar, Raghavan
- US Patent Application 15/395,231; 2018/0189631 Al