Sagarvarma Sayyaparaju

According to our database, Sagarvarma Sayyaparaju authored at least 11 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Design of a Robust Memristive Spiking Neuromorphic System with Unsupervised Learning in Hardware.

Md Musabbir Adnan, Sagarvarma Sayyaparaju, Samuel D. Brown, Mst Shamim Ara Shawkat, Catherine D. Schuman, Garrett S. Rose

ACM J. Emerg. Technol. Comput. Syst., 2021

2020

Device-aware Circuit Design for Robust Memristive Neuromorphic Systems with STDP-based Learning.

Sagarvarma Sayyaparaju, Md Musabbir Adnan, Sherif Amer, Garrett S. Rose

ACM J. Emerg. Technol. Comput. Syst., 2020

Circuit Techniques for Efficient Implementation of Memristor Based Reservoir Computing.

Sagarvarma Sayyaparaju, Mst Shamim Ara Shawkat, Md Musabbir Adnan, Garrett S. Rose

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks.

Maximilian Liehr, Jubin Hazra, Karsten Beckmann, Wilkie Olin-Ammentorp, Nathaniel C. Cady, Ryan Weiss, Sagarvarma Sayyaparaju, Garrett S. Rose, Joseph Van Nostrand

Proceedings of the International Conference on Neuromorphic Systems, 2019

A Scan Register Based Access Scheme for Multilevel Non-Volatile Memristor Memory.

Md Musabbir Adnan, Sherif Amer, Sagarvarma Sayyaparaju, Md Sakib Hasan, Garrett S. Rose

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

2018

A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems.

Md Musabbir Adnan, Sagarvarma Sayyaparaju, Garrett S. Rose, Catherine D. Schuman, Bon Woong Ku, Sung Kyu Lim

Proceedings of the 31st IEEE International System-on-Chip Conference, 2018

A Mixed-Mode Neuron with On-chip Tunability for Generic Use in Memristive Neuromorphic Systems.

Sagarvarma Sayyaparaju, Ryan Weiss, Garrett S. Rose

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

A bi-memristor synapse with spike-timing-dependent plasticity for on-chip learning in memristive neuromorphic systems.

Sagarvarma Sayyaparaju, Sherif Amer, Garrett S. Rose

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

2017

A mixed-signal approach to memristive neuromorphic system design.

Gangotree Chakma, Sagarvarma Sayyaparaju, Ryan Weiss, Garrett S. Rose

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

A practical hafnium-oxide memristor model suitable for circuit design and simulation.

Sherif Amer, Sagarvarma Sayyaparaju, Garrett S. Rose, Karsten Beckmann, Nathaniel C. Cady

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Circuit Techniques for Online Learning of Memristive Synapses in CMOS-Memristor Neuromorphic Systems.

Sagarvarma Sayyaparaju, Gangotree Chakma, Sherif Amer, Garrett S. Rose

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017