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

Conference · Wed Jul 01 00:00:00 EDT 2020

DOI:https://doi.org/10.1109/IJCNN48605.2020.9206920· OSTI ID:1671408

Young, Aaron ^[1]; Foshie, Adam ^[2]; Dean, Mark ^[1]; Plank, James ^[1]; Rose, Garrett ^[1]; Mitchell, Parker ^[3]; Schuman, Catherine  ^[3]

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1. University of Tennessee (UT)
2. University of Tennessee, Knoxville (UTK)
3. ORNL

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.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1671408
• Resource Relation: Conference: International Joint Conference on Neural Networks (IJCNN) - Glasgow, , Scotland - 7/19/2020 8:00:00 AM-7/24/2020 8:00:00 AM
• Country of Publication: United States
• Language: English