Gangotree Chakma

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 15

Top Topics

Emerging Technologies

Quantum Computation

Scientific Data

Top Venues

ACM Great Lakes Symposium on VLSI

ACM J. Emerg. Technol. Comput. Syst.

Publications

Karsten Beckmann, Wilkie Olin-Ammentorp, Gangotree Chakma, Sherif Amer, Garrett S. Rose, Chris Hobbs, Joseph Van Nostrand, Martin Rodgers, Nathaniel C. Cady
Towards Synaptic Behavior of Nanoscale ReRAM Devices for Neuromorphic Computing Applications. ACM J. Emerg. Technol. Comput. Syst. 16 (2) (2020)
Samuel D. Brown, Gangotree Chakma, Md Musabbir Adnan, Md Sakib Hasan, Garrett S. Rose
Stochasticity in Neuromorphic Computing: Evaluating Randomness for Improved Performance. ICECS (2019)
Gangotree Chakma, Md Musabbir Adnan, Austin Wyer, Ryan Weiss, Catherine D. Schuman, Garrett S. Rose
Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (1) (2018)
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
A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers. ACM J. Emerg. Technol. Comput. Syst. 14 (2) (2018)
Gangotree Chakma, Nicholas D. Skuda, Catherine D. Schuman, James S. Plank, Mark E. Dean, Garrett S. Rose
Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices. ACM Great Lakes Symposium on VLSI (2018)
Gangotree Chakma, Shaan Awasthi
Resource Optimization for Circuit Simulation using Machine Learning. IEEE BigData (2018)
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
Adiabatic Quantum Computation Applied to Deep Learning Networks. Entropy 20 (5) (2018)
Nicholas D. Skuda, Catherine D. Schuman, Gangotree Chakma, James S. Plank, Garrett S. Rose
High-Level Simulation for Spiking Neuromorphic Computing Systems. ISCAS (2018)
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
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. CoRR (2017)
Gangotree Chakma, Sagarvarma Sayyaparaju, Ryan Weiss, Garrett S. Rose
A mixed-signal approach to memristive neuromorphic system design. MWSCAS (2017)
Sagarvarma Sayyaparaju, Gangotree Chakma, Sherif Amer, Garrett S. Rose
Circuit Techniques for Online Learning of Memristive Synapses in CMOS-Memristor Neuromorphic Systems. ACM Great Lakes Symposium on VLSI (2017)
Catherine D. Schuman, Thomas E. Potok, Steven R. Young, Robert M. Patton, Gabriel N. Perdue, Gangotree Chakma, Austin Wyer, Garrett S. Rose
Neuromorphic computing for temporal scientific data classification. NCS (2017)
Catherine D. Schuman, James S. Plank, Garrett S. Rose, Gangotree Chakma, Austin Wyer, Grant Bruer, Nouamane Laanait
A programming framework for neuromorphic systems with emerging technologies. NANOCOM (2017)
Ryan Weiss, Gangotree Chakma, Garrett S. Rose
A synchronized axon hillock neuron for memristive neuromorphic systems. MWSCAS (2017)
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
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. MLHPC@SC (2016)