The TENNLab Exploratory Neuromorphic Computing Framework

Journal Article · 11 December 2018 · IEEE Letters of the Computer Society

DOI: https://doi.org/10.1109/LOCS.2018.2885976 · OSTI ID:1490716

Plank, James S.  ^[1]; Schuman, Catherine D.  ^[2]; Bruer, Grant  ^[1]; Dean, Mark E. ^[1]; Rose, Garrett S.  ^[1]

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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)

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.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 1490716
• Journal Information: IEEE Letters of the Computer Society, Vol. 1, Issue 2; ISSN 2573-9689
• Publisher: IEEE Computer SocietyCopyright Statement
• Country of Publication: United States
• Language: English