Constant depth, near constant depth, and subcubic size threshold circuits for linear algebraic calculations
Abstract
A method of increasing an efficiency at which a plurality of threshold gates arranged as neuromorphic hardware is able to perform a linear algebraic calculation having a dominant size of N. The computer-implemented method includes using the plurality of threshold gates to perform the linear algebraic calculation in a manner that is simultaneously efficient and at a near constant depth. “Efficient” is defined as a calculation algorithm that uses fewer of the plurality of threshold gates than a naïve algorithm. The naïve algorithm is a straightforward algorithm for solving the linear algebraic calculation. “Constant depth” is defined as an algorithm that has an execution time that is independent of a size of an input to the linear algebraic calculation. The near constant depth comprises a computing depth equal to or between O(log(log(N)) and the constant depth.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1600161
- Patent Number(s):
- 10445065
- Application Number:
- 15/699,077
- 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: 09/08/2017
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Aimone, James Bradley, Parekh, Ojas D., and Phillips, Cynthia A.. Constant depth, near constant depth, and subcubic size threshold circuits for linear algebraic calculations. United States: N. p., 2019.
Web.
Aimone, James Bradley, Parekh, Ojas D., & Phillips, Cynthia A.. Constant depth, near constant depth, and subcubic size threshold circuits for linear algebraic calculations. United States.
Aimone, James Bradley, Parekh, Ojas D., and Phillips, Cynthia A.. Tue .
"Constant depth, near constant depth, and subcubic size threshold circuits for linear algebraic calculations". United States. https://www.osti.gov/servlets/purl/1600161.
@article{osti_1600161,
title = {Constant depth, near constant depth, and subcubic size threshold circuits for linear algebraic calculations},
author = {Aimone, James Bradley and Parekh, Ojas D. and Phillips, Cynthia A.},
abstractNote = {A method of increasing an efficiency at which a plurality of threshold gates arranged as neuromorphic hardware is able to perform a linear algebraic calculation having a dominant size of N. The computer-implemented method includes using the plurality of threshold gates to perform the linear algebraic calculation in a manner that is simultaneously efficient and at a near constant depth. “Efficient” is defined as a calculation algorithm that uses fewer of the plurality of threshold gates than a naïve algorithm. The naïve algorithm is a straightforward algorithm for solving the linear algebraic calculation. “Constant depth” is defined as an algorithm that has an execution time that is independent of a size of an input to the linear algebraic calculation. The near constant depth comprises a computing depth equal to or between O(log(log(N)) and the constant depth.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {10}
}
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