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NeuralRW-Loihi: Spiking Discrete Time Markov Chain Simulator for Intel Loihi v

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/Neural-Random-Walker
https://doi.org/10.11578/dc.20240910.3

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Abstract

SAND2024-01302O NeuralRW-Loihi: Spiking Discrete Time Markov Chain Simulator for Intel Loihi is a neuromorphic script that generates a random walk simulation of a discrete-time Markov Chain for the Loihi neuromorphic hardware. The code was used to produce the paper "Neuromorphic scaling advantages for energy-efficient random walk computations" by Smith et al., 2021. It was published in Nature Electronics. The software provides code for implementing the discrete time Markov chain random walks on Intel's Loihi Neuromorphic platform. In addition, it provides an example problem through a mini app.
Developers:
Aimone, James [1][2][3] ;  Severa, William [1][2][3] ;  Smith, John [1][2][3] ;  Krygier, Michael [1][2][3]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Release Date:
2023-11-10
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Licenses:
Apache License 2.0
Sponsoring Org.:
Code ID:
125284
Site Accession Number:
SCR 2798.1
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/Neural-Random-Walker
https://doi.org/10.11578/dc.20240910.3

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Citation Formats

Aimone, James, Severa, William, Smith, John D., and Krygier, Michael. NeuralRW-Loihi: Spiking Discrete Time Markov Chain Simulator for Intel Loihi v. Computer Software. https://github.com/sandialabs/Neural-Random-Walker. USDOE. 10 Nov. 2023. Web. doi:10.11578/dc.20240910.3.
Aimone, James, Severa, William, Smith, John D., & Krygier, Michael. (2023, November 10). NeuralRW-Loihi: Spiking Discrete Time Markov Chain Simulator for Intel Loihi v. [Computer software]. https://github.com/sandialabs/Neural-Random-Walker. https://doi.org/10.11578/dc.20240910.3.
Aimone, James, Severa, William, Smith, John D., and Krygier, Michael. "NeuralRW-Loihi: Spiking Discrete Time Markov Chain Simulator for Intel Loihi v." Computer software. November 10, 2023. https://github.com/sandialabs/Neural-Random-Walker. https://doi.org/10.11578/dc.20240910.3.
@misc{ doecode_125284,
title = {NeuralRW-Loihi: Spiking Discrete Time Markov Chain Simulator for Intel Loihi v},
author = {Aimone, James and Severa, William and Smith, John D. and Krygier, Michael},
abstractNote = {SAND2024-01302O NeuralRW-Loihi: Spiking Discrete Time Markov Chain Simulator for Intel Loihi is a neuromorphic script that generates a random walk simulation of a discrete-time Markov Chain for the Loihi neuromorphic hardware. The code was used to produce the paper "Neuromorphic scaling advantages for energy-efficient random walk computations" by Smith et al., 2021. It was published in Nature Electronics. The software provides code for implementing the discrete time Markov chain random walks on Intel's Loihi Neuromorphic platform. In addition, it provides an example problem through a mini app.},
doi = {10.11578/dc.20240910.3},
url = {https://doi.org/10.11578/dc.20240910.3},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240910.3}},
year = {2023},
month = {nov}
}