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ORCIDGarrett S. Rose
- > Home > Persons > Garrett S. Rose
Publications
- 2020
[j27]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): 23:1-23:18 (2020)- 2019
- [c64]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: 454-457 - 2018
- [j21]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): 380 (2018) - [j20]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): 125-136 (2018) - [j17]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): 19:1-19:21 (2018) - [c57]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: 379-383 - [c53]Nicholas D. Skuda, Catherine D. Schuman, Gangotree Chakma, James S. Plank, Garrett S. Rose:
High-Level Simulation for Spiking Neuromorphic Computing Systems. ISCAS 2018: 1-5 - 2017
- [c47]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: 479-482 - [c43]Ryan Weiss, Gangotree Chakma, Garrett S. Rose:
A synchronized axon hillock neuron for memristive neuromorphic systems. MWSCAS 2017: 361-364 - [c42]Gangotree Chakma, Sagarvarma Sayyaparaju, Ryan Weiss, Garrett S. Rose:
A mixed-signal approach to memristive neuromorphic system design. MWSCAS 2017: 547-550 - [c40]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: 15:1-15:7 - [c39]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: 2:1-2:6 - [i3]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 abs/1703.05364 (2017) - 2016
- [c32]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: 47-55
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