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Title: The TENNLab Exploratory Neuromorphic Computing Framework

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 spiking, neuromorphic computing systems to develop applications and evaluate 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.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1];  [1]; ORCiD logo [1]
  1. Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1490716
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Letters of the Computer Society
Additional Journal Information:
Journal Volume: 1; Journal Issue: 2; Journal ID: ISSN 2573-9689
Publisher:
IEEE Computer Society
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Neuromorphic computing; spiking recurrent neural networks; machine learning; beyond Moore’s Law

Citation Formats

Plank, James S., Schuman, Catherine D., Bruer, Grant, Dean, Mark E., and Rose, Garrett S. The TENNLab Exploratory Neuromorphic Computing Framework. United States: N. p., 2018. Web. doi:10.1109/LOCS.2018.2885976.
Plank, James S., Schuman, Catherine D., Bruer, Grant, Dean, Mark E., & Rose, Garrett S. The TENNLab Exploratory Neuromorphic Computing Framework. United States. doi:10.1109/LOCS.2018.2885976.
Plank, James S., Schuman, Catherine D., Bruer, Grant, Dean, Mark E., and Rose, Garrett S. Tue . "The TENNLab Exploratory Neuromorphic Computing Framework". United States. doi:10.1109/LOCS.2018.2885976.
@article{osti_1490716,
title = {The TENNLab Exploratory Neuromorphic Computing Framework},
author = {Plank, James S. and Schuman, Catherine D. and Bruer, Grant and Dean, Mark E. and Rose, Garrett S.},
abstractNote = {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 spiking, neuromorphic computing systems to develop applications and evaluate 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.},
doi = {10.1109/LOCS.2018.2885976},
journal = {IEEE Letters of the Computer Society},
number = 2,
volume = 1,
place = {United States},
year = {2018},
month = {12}
}

Journal Article:
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This content will become publicly available on December 11, 2019
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