An Application Development Platform for Neuromorphic Computing

Conference · Fri Jan 01 00:00:00 EST 2016

DOI:https://doi.org/10.1109/IJCNN.2016.7727354· OSTI ID:1332071

Dean, Mark ^[1]; Chan, Jason ^[1]; Daffron, Christopher ^[1]; Disney, Adam ^[1]; Reynolds, John ^[1]; Rose, Garrett ^[1]; Plank, James ^[1]; Birdwell, John Douglas ^[1]; Schuman, Catherine D ^[2]

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1. University of Tennessee (UT)
2. ORNL

Dynamic Adaptive Neural Network Arrays (DANNAs) are neuromorphic computing systems developed as a hardware based approach to the implementation of neural networks. They feature highly adaptive and programmable structural elements, which model arti cial neural networks with spiking behavior. We design them to solve problems using evolutionary optimization. In this paper, we highlight the current hardware and software implementations of DANNA, including their features, functionalities and performance. We then describe the development of an Application Development Platform (ADP) to support efficient application implementation and testing of DANNA based solutions. We conclude with future directions.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1332071
• Resource Relation: Conference: World Congress on Computational Intelligence 2016 - International Joint Conference on Neural Networks, Vancouver, Canada, 20160724, 20160729
• Country of Publication: United States
• Language: English