Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices

Author:

Chakma Gangotree1,Skuda Nicholas D.1,Schuman Catherine D.2,Plank James S.1,Dean Mark E.1,Rose Garrett S.1

Affiliation:

1. University of Tennessee, Knoxville, TN, USA

2. Oak Ridge National Laboratory, Oak Ridge, TN, USA

Funder

Air Force Research Laboratory

U.S. Department of Energy

Publisher

ACM

Reference12 articles.

1. Sherif Amer Sagarvarma Sayyaparaju Garrett S. Rose Karsten Beckmann and Nathaniel C. Cady. {n. d.}. A Practical Hafnium-Oxide Memristor Model Suitable for Circuit Design and Simulation Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS). Sherif Amer Sagarvarma Sayyaparaju Garrett S. Rose Karsten Beckmann and Nathaniel C. Cady. {n. d.}. A Practical Hafnium-Oxide Memristor Model Suitable for Circuit Design and Simulation Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS).

2. Karsten Beckmann Josh Holt Harika Manem Joseph Van Nostrand and Nathaniel C Cady. 2016. Nanoscale Hafnium Oxide RRAM Devices Exhibit Pulse Dependent Behavior and Multi-level Resistance Capability. MRS Advances (2016) 1--6. Karsten Beckmann Josh Holt Harika Manem Joseph Van Nostrand and Nathaniel C Cady. 2016. Nanoscale Hafnium Oxide RRAM Devices Exhibit Pulse Dependent Behavior and Multi-level Resistance Capability. MRS Advances (2016) 1--6.

3. Nathaniel Cady Karsten Beckmann Wilkie Olin-Ammentorp Gangotree Chakma Sherif Amer Ryan Weiss Sagarvarma Sayyaparaju Md. Musabbir Adnan John Murray Mark Dean James Plank Garrett S. Rose and Joseph E. Van Nostrand. 2018. Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture Proceedings of the Government Microcircuit Applications and Critical Technology Conference (GOMACTech). Nathaniel Cady Karsten Beckmann Wilkie Olin-Ammentorp Gangotree Chakma Sherif Amer Ryan Weiss Sagarvarma Sayyaparaju Md. Musabbir Adnan John Murray Mark Dean James Plank Garrett S. Rose and Joseph E. Van Nostrand. 2018. Full CMOS-Memristor Implementation of a Dynamic Neuromorphic Architecture Proceedings of the Government Microcircuit Applications and Critical Technology Conference (GOMACTech).

4. Gangotree Chakma Md. Musabbir Adnan Austin R. Wyer Ryan Weiss Catherine D. Schuman and Garrett S. Rose. 2017 a. Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) Vol. PP 99 (2017). Gangotree Chakma Md. Musabbir Adnan Austin R. Wyer Ryan Weiss Catherine D. Schuman and Garrett S. Rose. 2017 a. Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) Vol. PP 99 (2017).

5. G. Chakma S. Sayyaparaju R. Weiss and G. S. Rose. 2017 b. A Mixed-Signal Approach to Memristive Neuromorphic System Design 60th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). Boston MA. G. Chakma S. Sayyaparaju R. Weiss and G. S. Rose. 2017 b. A Mixed-Signal Approach to Memristive Neuromorphic System Design 60th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). Boston MA.

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