James S. Plank, Catherine D. Schuman, Grant Bruer, Mark E. Dean and Garrett S. Rose

December, 2018

IEEE Letters of the Computer Society

https://doi.ieeecomputersociety.org/10.1109/LOCS.2018.2885976

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Abstract

Spiking, neuromorphic computing systems are in a period of active exploration by the computing community. While they feature computational expressiveness beyond both von Neumann computing models and feed-forward neural networks, they are also challenging to design and program. The TENNLab exploratory neuromorphic computing framework is a software infrastructure, soon to be open-source, whose goal is to enable potential users of SRNN's to develop applications and evaluate neuromorphic computing architectures, and for architecture researchers to develop and evaluate their architectures with a variety of applications. In this letter, we present the software architecture of the TENNLab framework.

Citation Information

Text

author          J. S. Plank and C. D. Schuman and G. Bruer and M. E. Dean and G. S. Rose
title           The TENNLab Exploratory Neuromorphic Computing Framework
journal         IEEE Letters of the Computer Society
month           July-Dec
volume          1
doi             10.1109/LOCS.2018.2885976
year            2018
url             https://doi.ieeecomputersociety.org/10.1109/LOCS.2018.2885976
pages           17-20
number          2

Bibtex

@ARTICLE{psb:18:ten,
    author = "J. S. Plank and C. D. Schuman and G. Bruer and M. E. Dean and G. S. Rose",
    title = "The {TENNLab} Exploratory Neuromorphic Computing Framework",
    journal = "IEEE Letters of the Computer Society",
    month = "July-Dec",
    volume = "1",
    doi = "10.1109/LOCS.2018.2885976",
    year = "2018",
    url = "https://doi.ieeecomputersociety.org/10.1109/LOCS.2018.2885976",
    pages = "17-20",
    number = "2"
}