Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks

Aaron R. Young; Adam Z. Foshie; Mark E. Dean; James S. Plank; Garrett S. Rose; J. Parker Mitchell; Catherine D. Schuman

doi:10.1109/IJCNN48605.2020.9206920

Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks

Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Neuromorphic computing is one promising post-Moore's law era technology, which takes inspiration from biological brains to perform computing tasks. The human brain contains billions of neurons with trillions of synapses and as neuromorphic hardware systems scale to larger and larger sizes, the communication system used to transfer information between neuromorphic elements and traditional computers must scale to keep up. In prior work, we describe the use of a separate neuromorphic array communications controller to support low-latency, high-throughput communication between our neuromorphic systems and a traditional computer. In this work, the neuromorphic array communications controller is used to support the scaling of a neuromorphic development system which uses multiple neuromorphic processors arranged in a two-dimensional array. The neuromorphic array communications controller, along with scalable local connections, is used to create a scalable neuromorphic platform to enable the development and testing of large neuromorphic network arrays.

Original language	English
Title of host publication	2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728169262
DOIs	https://doi.org/10.1109/IJCNN48605.2020.9206920
State	Published - Jul 2020
Externally published	Yes
Event	2020 International Joint Conference on Neural Networks, IJCNN 2020 - Virtual, Glasgow, United Kingdom Duration: Jul 19 2020 → Jul 24 2020

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks

Conference

Conference	2020 International Joint Conference on Neural Networks, IJCNN 2020
Country/Territory	United Kingdom
City	Virtual, Glasgow
Period	07/19/20 → 07/24/20

Funding

Notice: This material is based in-part on research sponsored by The University of Tennessee (UT) Science Alliance Joint Directed Research and Development Program; Air Force Research Laboratory under agreement number FA8750-19-1-0025; and by the U.S. Department of Energy, Office of Science, and Office of Advanced Scientific Computing Research, under contract number DE-AC05-00OR22725. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the Air Force Research Laboratory or the U.S. Government. This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Funders	Funder number
Air Force Research Laboratory	FA8750-19-1-0025
Advanced Scientific Computing Research	DE-AC05-00OR22725
U.S. Department of Energy
U.S. Department of Energy
University of Tennessee
U.S. Department of Energy
Office of Science

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10.1109/IJCNN48605.2020.9206920

Cite this

Young, A. R., Foshie, A. Z., Dean, M. E., Plank, J. S., Rose, G. S., Mitchell, J. P., & Schuman, C. D. (2020). Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. In 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings Article 9206920 (Proceedings of the International Joint Conference on Neural Networks). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN48605.2020.9206920

Young, Aaron R. ; Foshie, Adam Z. ; Dean, Mark E. et al. / Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the International Joint Conference on Neural Networks).

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title = "Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks",

abstract = "Neuromorphic computing is one promising post-Moore's law era technology, which takes inspiration from biological brains to perform computing tasks. The human brain contains billions of neurons with trillions of synapses and as neuromorphic hardware systems scale to larger and larger sizes, the communication system used to transfer information between neuromorphic elements and traditional computers must scale to keep up. In prior work, we describe the use of a separate neuromorphic array communications controller to support low-latency, high-throughput communication between our neuromorphic systems and a traditional computer. In this work, the neuromorphic array communications controller is used to support the scaling of a neuromorphic development system which uses multiple neuromorphic processors arranged in a two-dimensional array. The neuromorphic array communications controller, along with scalable local connections, is used to create a scalable neuromorphic platform to enable the development and testing of large neuromorphic network arrays.",

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doi = "10.1109/IJCNN48605.2020.9206920",

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Young, AR, Foshie, AZ, Dean, ME, Plank, JS, Rose, GS, Mitchell, JP & Schuman, CD 2020, Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. in 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings., 9206920, Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., 2020 International Joint Conference on Neural Networks, IJCNN 2020, Virtual, Glasgow, United Kingdom, 07/19/20. https://doi.org/10.1109/IJCNN48605.2020.9206920

Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. / Young, Aaron R.; Foshie, Adam Z.; Dean, Mark E. et al.
2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9206920 (Proceedings of the International Joint Conference on Neural Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Young AR, Foshie AZ, Dean ME, Plank JS, Rose GS, Mitchell JP et al. Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. In 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9206920. (Proceedings of the International Joint Conference on Neural Networks). doi: 10.1109/IJCNN48605.2020.9206920

Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks

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