Devices and methods for increasing the speed and efficiency at which a computer is capable of modeling a plurality of random walkers using a density 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, wherein the virtual space comprises a plurality of vertices and wherein the different locations are ones of the plurality of vertices. A corresponding set of neurons in a spiking neural network is assigned to a corresponding vertex such that there is a correspondence between sets of neurons and the plurality of vertices, wherein a spiking neural network comprising a plurality of sets of spiking neurons is established. A virtual random walk of the plurality of virtual random walkers is executed using the spiking neural network, wherein executing includes tracking how many virtual random walkers are at each vertex at a given time increment.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1924972
- Patent Number(s):
- 11409922
- Application Number:
- 16/020,627
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
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 density 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 density 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 density method". United States. https://www.osti.gov/servlets/purl/1924972.
@article{osti_1924972,
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 density 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, wherein the virtual space comprises a plurality of vertices and wherein the different locations are ones of the plurality of vertices. A corresponding set of neurons in a spiking neural network is assigned to a corresponding vertex such that there is a correspondence between sets of neurons and the plurality of vertices, wherein a spiking neural network comprising a plurality of sets of spiking neurons is established. A virtual random walk of the plurality of virtual random walkers is executed using the spiking neural network, wherein executing includes tracking how many virtual random walkers are at each vertex at a given time increment.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Aug 09 00:00:00 EDT 2022},
month = {Tue Aug 09 00:00:00 EDT 2022}
}
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