Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.9%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: kwhou
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 47.9 KB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 4 years ago · Last pushed about 3 years ago
Metadata Files
Readme License Citation

README.md

RRAM Model Generator

NTHU LARC Logo

Usage

  1. Show the help message. $ python rram_model_generator.py --help

  2. Generate a complete 256 x 512 array. $ python rram_model_generator.py --row 256 --col 512 --mode all

  3. Generate a 256 x 512 array that has only column 0-5 and 506-511, with other columns replaced by the Pi model. $ python rram_model_generator.py --row 256 --col 512 --mode cols --gen_col 6

Citation

If you use this code in your work, please cite the following paper.

K.-W. Hou, H.-H. Cheng, C. Tung, C.-W. Wu and J.-M. Lu, "Fault Modeling and Testing of Memristor-Based Spiking Neural Networks", in Proc. IEEE Int. Test Conf. (ITC), Anaheim, Sept. 2022.

Owner

  • Name: Kuan-Wei Hou
  • Login: kwhou
  • Kind: user
  • Location: Hsinchu, Taiwan
  • Company: National Tsing Hua University

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: RRAM Model Generator
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Kuan-Wei
    family-names: Hou
    email: kwhou_larc@gapp.nthu.edu.tw
    affiliation: National Tsing Hua University
repository-code: 'https://github.com/kwhou/rram_model_generator'
license: MIT

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