Catherine D. Schuman, James S. Plank, Garrett S. Rose and Maryam Parsa

November, 2022

International Meeting for Future of Electron Devices, Kansai (IMFEDK)

https://ieeexplore.ieee.org/xpl/conhome/9975349/proceeding

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Abstract

Neuromorphic computing is a broad, interdisciplinary field that spans across all levels of the compute stack, from applications and algorithms to devices and materials. When designing a new computing system from the ground up, co-design is key. Here, we discuss different types of co-design for neuromorphic systems, and we advocate specifically for omnidirectional co-design. Finally, we discuss recommendations for performing omnidirectional co-design, based on our own experience in the realm of neuromorphic computing.

Citation Information

Text

author       C. D. Schuman and J. S. Plank and G. S. Rose and M. Parsa
title        Lessons Learned in Omnidirectional Co-Design of Neuromorphic Systems
booktitle    International Meeting for Future of Electron Devices, Kansai (IMFEDK)
publisher    IEEE
doi          10.1109/IMFEDK56875.2022.9975370
url          https://ieeexplore.ieee.org/document/9975370
month        November
year         2022

Bibtex

@INPROCEEDINGS{spr:22:llo,
    author = "C. D. Schuman and J. S. Plank and G. S. Rose and M. Parsa",
    title = "Lessons Learned in Omnidirectional Co-Design of Neuromorphic Systems",
    booktitle = "International Meeting for Future of Electron Devices, Kansai (IMFEDK)",
    publisher = "IEEE",
    doi = "10.1109/IMFEDK56875.2022.9975370",
    url = "https://ieeexplore.ieee.org/document/9975370",
    month = "November",
    year = "2022"
}