NeuralRW-Loihi: Spiking Discrete Time Markov Chain Simulator for Intel Loihi v
- Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
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.
- Site Accession Number:
- SCR 2798.1
- Software Type:
- Scientific
- License(s):
- Apache License 2.0
- Programming Language(s):
- Python
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- NA0003525
- OSTI ID:
- code-125284
- Country of Origin:
- United States
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Neuromorphic scaling advantages for energy-efficient random walk computations
Journal Article
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Sun Feb 13 23:00:00 EST 2022
· Nature Electronics
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OSTI ID:1845387