Gangotree Chakma

According to our database, Gangotree Chakma authored at least 13 papers between 2017 and 2020.

Collaborative distances:

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

2020

Towards Synaptic Behavior of Nanoscale ReRAM Devices for Neuromorphic Computing Applications.

Karsten Beckmann, Wilkie Olin-Ammentorp, Gangotree Chakma, Sherif Amer, Garrett S. Rose, Chris Hobbs, Joseph Van Nostrand, Martin Rodgers, Nathaniel C. Cady

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

2019

Stochasticity in Neuromorphic Computing: Evaluating Randomness for Improved Performance.

Samuel D. Brown, Gangotree Chakma, Md Musabbir Adnan, Md Sakib Hasan, Garrett S. Rose

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

2018

A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers.

Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Federico M. Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett S. Rose, Gangotree Chakma

ACM J. Emerg. Technol. Comput. Syst., 2018

Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level.

Gangotree Chakma, Md Musabbir Adnan, Austin Wyer, Ryan Weiss, Catherine D. Schuman, Garrett S. Rose

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Adiabatic Quantum Computation Applied to Deep Learning Networks.

Jeremy Liu, Federico M. Spedalieri, Ke-Thia Yao, Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Garrett S. Rose, Gangotree Chakma

Entropy, 2018

High-Level Simulation for Spiking Neuromorphic Computing Systems.

Nicholas D. Skuda, Catherine D. Schuman, Gangotree Chakma, James S. Plank, Garrett S. Rose

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices.

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

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

Resource Optimization for Circuit Simulation using Machine Learning.

Gangotree Chakma, Shaan Awasthi

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Neuromorphic computing for temporal scientific data classification.

Catherine D. Schuman, Thomas E. Potok, Steven R. Young, Robert M. Patton, Gabriel N. Perdue, Gangotree Chakma, Austin Wyer, Garrett S. Rose

Proceedings of the Neuromorphic Computing Symposium, 2017

A programming framework for neuromorphic systems with emerging technologies.

Catherine D. Schuman, James S. Plank, Garrett S. Rose, Gangotree Chakma, Austin Wyer, Grant Bruer, Nouamane Laanait

Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017

A synchronized axon hillock neuron for memristive neuromorphic systems.

Ryan Weiss, Gangotree Chakma, Garrett S. Rose

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

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