T. Patrick Xiao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Inference Engine

Top Venues

Publications

G. William Chapman, Corinne Teeter, Sapan Agarwal, T. Patrick Xiao, Park Hays, Srideep Musuvathy
Biological Dynamics Enabling Training of Binary Recurrent Networks. NICE (2024)
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)
Xuan Hu, Can Cui, Samuel Liu, Felipe García-Sánchez, Wesley H. Brigner, Benjamin W. Walker, Alexander J. Edwards, T. Patrick Xiao, Christopher H. Bennett, Naimul Hassan, Michael P. Frank, Jean Anne C. Incorvia, Joseph S. Friedman
Magnetic skyrmions and domain walls for logical and neuromorphic computing. Neuromorph. Comput. Eng. 3 (2) (2023)
B. Tolleson, Christopher H. Bennett, T. Patrick Xiao, Donald Wilson, J. Short, J. Kim, David R. Hughart, N. Gilbert, Sapan Agarwal, Hugh J. Barnaby, Matthew J. Marinella
TID Response of an Analog In-Memory Neural Network Accelerator. IRPS (2023)
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)
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)
Joshua E. Kim, T. Patrick Xiao, Christopher H. Bennett, Donald Wilson, Matthew Spear, Maximilian Siath, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella
Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays. ICRC (2022)
Ethan Ancell, Christopher H. Bennett, Bert J. Debusschere, Sapan Agarwal, Park Hays, T. Patrick Xiao
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty. CoRR (2022)
T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Vineet Agrawal, Prashant Saxena, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Harsha Medu, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew J. Marinella
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) (2022)
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 (2021)
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 (2021)
Ben Feinberg, Ryan Wong, T. Patrick Xiao, Christopher H. Bennett, Jacob N. Rohan, Erik G. Boman, Matthew J. Marinella, Sapan Agarwal, Engin Ipek
An Analog Preconditioner for Solving Linear Systems. HPCA (2021)
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)
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. NICE (2020)
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 (2020)
Christopher H. Bennett, T. Patrick Xiao, Ryan Dellana, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella, Vineet Agrawal, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Long Hinh, Swatilekha Saha, Vijay Raghavan, Ramesh Chettuvetty
Device-aware inference operations in SONOS nonvolatile memory arrays. IRPS (2020)
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)
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 (2020)
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 (2020)