Shortest Path and Neighborhood Subgraph Extraction on a Spiking Memristive Neuromorphic Implementation

Author:

Schuman Catherine D.1,Hamilton Kathleen1,Mintz Tiffany1,Adnan Md Musabbir2,Ku Bon Woong3,Lim Sung-Kyu3,Rose Garrett S.2

Affiliation:

1. Oak Ridge National Laboratory, Oak Ridge, Tennessee

2. University of Tennessee, Knoxville, Tennessee

3. Georgia Institute of Technology, Atlanta, Georgia

Publisher

ACM Press

Reference23 articles.

1. Md Musabbir Adnan, Sagarvarma Sayyaparaju, Garrett S Rose, Catherine D. Schuman, Bon Woong Ku, and Sung Kyu Lim. 2018. A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems. In Proceedings of the 31st IEEE International System-On-Chip Conference (SOCC). IEEE, To appear.

2. James B Aimone, Ojas Parekh, and William Severa. 2017. Neural computing for scientific computing applications: more than just machine learning. In Proceedings of the Neuromorphic Computing Symposium. ACM, 7.

3. Rui Araújo, Nicolai Waniek, and Jörg Conradt. 2014. Development of a Dynamically Extendable SpiNNaker Chip Computing Module. In International Conference on Artificial Neural Networks. Springer, 821--828.

4. Gangotree Chakma, Md Musabbir Adnan, Austin R Wyer, Ryan Weiss, Catherine D Schuman, and Garrett S Rose. 2018. Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level. IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8, 1 (2018), 125--136.

5. Kevin Corder, John V Monaco, and Manuel M Vindiola. 2018. Solving Vertex Cover via Ising Model on a Neuromorphic Processor. In Circuits and Systems (ISCAS), 2018 IEEE International Symposium on. IEEE, 1--5.

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