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Christopher H. Bennett
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2020 – today
- 2024
- [c20]Sangheon Oh, T. Patrick Xiao, Christopher H. Bennett, Patrick S. Finnegan, Sean R. Bishop, Adam S. Christensen, Adam L. Gross, Sangyong Lee, Andrew Jalbert, Leah Simakas, Joshua D. Sugar, Yiyang Li, Elliot J. Fuller, Sapan Agarwal, A. Alec Talin:
Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing. DRC 2024: 1-2 - [c19]Pragnya Sudershan Nalla, Zhenyu Wang, Sapan Agarwal, T. Patrick Xiao, Christopher H. Bennett, Matthew J. Marinella, Jae-sun Seo, Yu Cao:
SHIFFT: A Scalable Hybrid In-Memory Computing FFT Accelerator. ISVLSI 2024: 130-135 - [c18]D. Wilson, Nad E. Gilbert, Matt Spear, J. Short, Christopher H. Bennett, William Wahby, J. Kim
, Robin Jacobs-Gedrim, Tianyao Patrick Xiao, S. Agarwal, Matthew J. Marinella:
A Discovery Platform to Characterize Emerging Nonvolatile Memories for Computing. VTS 2024: 1-5 - [i15]T. Patrick Xiao, Ben Feinberg, David K. Richardson, Matthew Cannon, Harsha Medu, Vineet Agrawal, Matthew J. Marinella, Sapan Agarwal, Christopher H. Bennett:
Analog fast Fourier transforms for scalable and efficient signal processing. CoRR abs/2409.19071 (2024) - 2023
- [j5]Xuan Hu
Magnetic skyrmions and domain walls for logical and neuromorphic computing. Neuromorph. Comput. Eng. 3(2): 22003 (2023) - [c17]Jesse Short, Matthew Spear, Donald Wilson, William Wahby, T. Patrick Xiao, Robin Jacobs-Gedrim, Christopher H. Bennett, Nad Gilbert, Sapan Agarwal, Matthew J. Marinella:
Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing. ICRC 2023: 1-5 - [c16]B. Tolleson, Christopher H. Bennett, T. Patrick Xiao, Donald Wilson, Jesse Short, J. Kim
TID Response of an Analog In-Memory Neural Network Accelerator. IRPS 2023: 1-6 - [c15]T. Patrick Xiao, W. S. Wahby, Christopher H. Bennett, Park Hays, V. Agrawal, Matthew J. Marinella, Sapan Agarwal:
Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing. VLSI Technology and Circuits 2023: 1-2 - 2022
- [j4]T. Patrick Xiao
An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory. IEEE Trans. Circuits Syst. I Regul. Pap. 69(4): 1480-1493 (2022) - [c14]Joshua E. Kim
Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays. ICRC 2022: 7-12 - [c13]Can Cui, Otitoaleke G. Akinola, Naimul Hassan, Christopher H. Bennett, Matthew J. Marinella, Joseph S. Friedman, Jean Anne C. Incorvia:
Intrinsic Lateral Inhibition Facilitates Winner-Take-All in Domain Wall Racetrack Arrays for Neuromorphic Computing. ISCAS 2022: 316-320 - [c12]Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman:
Purely Spintronic Leaky Integrate-and-Fire Neurons. ISCAS 2022: 1189-1193 - [i14]Ethan Ancell
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty. CoRR abs/2210.10780 (2022) - 2021
- [c11]Ben Feinberg, Ryan Wong, T. Patrick Xiao, Christopher H. Bennett, Jacob N. Rohan, Erik G. Boman, Matthew J. Marinella, Sapan Agarwal
An Analog Preconditioner for Solving Linear Systems. HPCA 2021: 761-774 - [i13]Samuel Liu, Christopher H. Bennett, Joseph S. Friedman, Matthew J. Marinella, David Paydarfar, Jean Anne C. Incorvia:
Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation. CoRR abs/2101.03095 (2021) - [i12]Pranav O. Mathews, Christian B. Duffee, Abel Thayil, Ty E. Stovall, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Naimul Hassan, Xuan Hu, Joseph S. Friedman:
High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network. CoRR abs/2107.02238 (2021) - [i11]T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella:
On the Accuracy of Analog Neural Network Inference Accelerators. CoRR abs/2109.01262 (2021) - [i10]Thomas Leonard, Samuel Liu, Mahshid Alamdar, Can Cui, Otitoaleke G. Akinola, Lin Xue, T. Patrick Xiao, Joseph S. Friedman, Matthew J. Marinella, Christopher H. Bennett, Jean Anne C. Incorvia:
Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing. CoRR abs/2111.11516 (2021) - 2020
- [c10]Christopher H. Bennett, T. Patrick Xiao, Ryan Dellana, Ben Feinberg, Sapan Agarwal
Device-aware inference operations in SONOS nonvolatile memory arrays. IRPS 2020: 1-6 - [c9]Christopher H. Bennett, T. Patrick Xiao, Can Cui, Naimul Hassan, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Alvaro Velasquez, Joseph S. Friedman, Matthew J. Marinella:
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. ISCAS 2020: 1-5 - [c8]Naimul Hassan, Wesley H. Brigner, Xuan Hu, Otitoaleke G. Akinola, Christopher H. Bennett, Matthew J. Marinella, Felipe García-Sánchez, Jean Anne C. Incorvia, Joseph S. Friedman:
CMOS-Free Magnetic Domain Wall Leaky Integrate-and-Fire Neurons with Intrinsic Lateral Inhibition. ISCAS 2020: 1-5 - [c7]Xuan Hu, Alexander J. Edwards, T. Patrick Xiao, Christopher H. Bennett, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman:
Process Variation Model and Analysis for Domain Wall-Magnetic Tunnel Junction Logic. ISCAS 2020: 1-5 - [c6]Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal
Evaluating complexity and resilience trade-offs in emerging memory inference machines. NICE 2020: 22:1-22:4 - [i9]Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman:
CMOS-Free Multilayer Perceptron Enabled by Four-Terminal MTJ Device. CoRR abs/2002.00862 (2020) - [i8]Christopher H. Bennett, T. Patrick Xiao, Can Cui, Naimul Hassan, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Alvaro Velasquez, Joseph S. Friedman, Matthew J. Marinella:
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. CoRR abs/2003.02357 (2020) - [i7]Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone:
Evaluating complexity and resilience trade-offs in emerging memory inference machines. CoRR abs/2003.10396 (2020) - [i6]Alvaro Velasquez, Christopher H. Bennett, Naimul Hassan, Wesley H. Brigner, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman:
Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture. CoRR abs/2003.11120 (2020) - [i5]Christopher H. Bennett, T. Patrick Xiao, Ryan Dellana, Vineet Agrawal, Ben Feinberg, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Long Hinh, Swatilekha Saha, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew J. Marinella:
Device-aware inference operations in SONOS nonvolatile memory arrays. CoRR abs/2004.00802 (2020) - [i4]Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Can Cui, Alvaro Velasquez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman:
Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions. CoRR abs/2011.06075 (2020)
2010 – 2019
- 2019
- [j3]Christopher H. Bennett
Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks. IEEE Access 7: 73938-73953 (2019) - [j2]Elliot J. Fuller, Yiyang Li, Christopher H. Bennett, Scott T. Keene
Redox transistors for neuromorphic computing. IBM J. Res. Dev. 63(6): 9:1-9:9 (2019) - [c5]Christopher H. Bennett, Diana Garland
Wafer-Scale TaOx Device Variability and Implications for Neuromorphic Computing Applications. IRPS 2019: 1-4 - [i3]Wesley H. Brigner, Naimul Hassan, Lucian Jiang-Wei, Xuan Hu, Diptish Saha, Christopher H. Bennett, Matthew J. Marinella, Jean Anne C. Incorvia, Felipe García-Sánchez, Joseph S. Friedman:
Shape-based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron. CoRR abs/1905.05485 (2019) - 2018
- [b1]Christopher H. Bennett:
Local learning with highly analog memory devices. (Apprentissage local avec des dispositifs de mémoire hautement analogiques). University of Paris-Saclay, France, 2018 - [j1]Christopher H. Bennett
Multiscaled Simulation Methodology for Neuro-Inspired Circuits Demonstrated with an Organic Memristor. IEEE Trans. Multi Scale Comput. Syst. 4(4): 822-832 (2018) - 2017
- [c4]Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
Spatio-temporal learning with arrays of analog nanosynapses. NANOARCH 2017: 125-130 - [i2]Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein:
Spatio-temporal Learning with Arrays of Analog Nanosynapses. CoRR abs/1709.03849 (2017) - 2016
- [c3]Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
A recurrent crossbar of memristive nanodevices implements online novelty detection. ICRC 2016: 1-4 - [c2]Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Jacques-Olivier Klein
Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures. IJCNN 2016: 947-954 - [i1]Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Fabien Alibart, Damien Querlioz:
Exploiting the Short-term to Long-term Plasticity Transition in Memristive Nanodevice Learning Architectures. CoRR abs/1606.08366 (2016) - 2015
- [c1]Christopher H. Bennett, Djaafar Chabi, Theo Cabaret, Bruno Jousselme
Supervised learning with organic memristor devices and prospects for neural crossbar arrays. NANOARCH 2015: 181-186
Coauthor Index
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