November 2016

Conference Paper

An Application Development Platform for Neuromorphic Computing

By:
Dean, Mark; Chan, Jason; Daffron, Christopher; Disney, Adam; Reynolds, John; Rose, Garrett; Plank, James; Birdwell, John; Schuman, Catherine D
Publication Date:
November 2016
Conference Name:
World Congress on Computational Intelligence 2016 - International Joint Conference on Neural Networks
Conference Location:
Vancouver, Canada
Conference Sponsor:
IEEE

Abstract

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 artificial 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.