Matthew J. Marinella

According to our database, Matthew J. Marinella authored at least 46 papers between 2014 and 2024.

Collaborative distances:

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

2024

Analog fast Fourier transforms for scalable and efficient signal processing.

T. Patrick Xiao, Ben Feinberg, David K. Richardson, Matthew Cannon, Harsha Medu, Vineet Agrawal, Matthew J. Marinella, Sapan Agarwal, Christopher H. Bennett

CoRR, 2024

A Discovery Platform to Characterize Emerging Nonvolatile Memories for Computing.

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

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

SHIFFT: A Scalable Hybrid In-Memory Computing FFT Accelerator.

Pragnya Sudershan Nalla, Zhenyu Wang, Sapan Agarwal, T. Patrick Xiao, Christopher H. Bennett, Matthew J. Marinella, Jae-sun Seo, Yu Cao

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

2023

Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials.

Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar

Int. J. High Perform. Comput. Appl., July, 2023

Research Challenges for Energy-Efficient Computing in Automated Vehicles.

Robert P. Dick, Rob Aitken, Jace Mogill, John Paul Strachan, Kirk Bresniker, Wei Lu, Yorie Nakahira, Zhiyong Li, Matthew J. Marinella, William Severa, A. Alec Talin, Craig M. Vineyard, Suhas Kumar, Christian Mailhiot, Lennie Klebanoff

Computer, March, 2023

Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing.

T. Patrick Xiao, W. S. Wahby, Christopher H. Bennett, Park Hays, V. Agrawal, Matthew J. Marinella, Sapan Agarwal

Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

TID Response of an Analog In-Memory Neural Network Accelerator.

B. Tolleson, Christopher H. Bennett, T. Patrick Xiao, Donald Wilson, Jesse Short, J. Kim, David R. Hughart, Nad Gilbert, Sapan Agarwal, Hugh J. Barnaby, Matthew J. Marinella

Proceedings of the IEEE International Reliability Physics Symposium, 2023

Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing.

Jesse Short, Matthew Spear, Donald Wilson, William Wahby, T. Patrick Xiao, Robin Jacobs-Gedrim, Christopher H. Bennett, Nad Gilbert, Sapan Agarwal, Matthew J. Marinella

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

2022

An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory.

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

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Physical Compact Model for Three-Terminal SONOS Synaptic Circuit Element.

Su-In Yi, A. Alec Talin, Matthew J. Marinella, R. Stanley Williams

Adv. Intell. Syst., 2022

Eris: Fault Injection and Tracking Framework for Reliability Analysis of Open-Source Hardware.

Shubham Nema, Justin Kirschner, Debpratim Adak, Sapan Agarwal, Ben Feinberg, Arun F. Rodrigues, Matthew J. Marinella, Amro Awad

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

Intrinsic Lateral Inhibition Facilitates Winner-Take-All in Domain Wall Racetrack Arrays for Neuromorphic Computing.

Can Cui, Otitoaleke G. Akinola, Naimul Hassan, Christopher H. Bennett, Matthew J. Marinella, Joseph S. Friedman, Jean Anne C. Incorvia

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Self-correcting Flip-flops for Triple Modular Redundant Logic in a 12-nm Technology.

Lawrence T. Clark, Alen Duvnjak, Clifford Young-Sciortino, Matthew Cannon, John S. Brunhaver, Sapan Agarwal, Jereme Neuendank, Donald Wilson, Hugh J. Barnaby, Matthew J. Marinella

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Purely Spintronic Leaky Integrate-and-Fire Neurons.

Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays.

Joshua E. Kim, T. Patrick Xiao, Christopher H. Bennett, Donald Wilson, Matthew Spear, Maximilian Siath, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

2021

Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing.

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

CoRR, 2021

On the Accuracy of Analog Neural Network Inference Accelerators.

T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella

CoRR, 2021

High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network.

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

CoRR, 2021

Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation.

Samuel Liu, Christopher H. Bennett, Joseph S. Friedman, Matthew J. Marinella, David Paydarfar, Jean Anne C. Incorvia

CoRR, 2021

An Analog Preconditioner for Solving Linear Systems.

Ben Feinberg, Ryan Wong, T. Patrick Xiao, Christopher H. Bennett, Jacob N. Rohan, Erik G. Boman, Matthew J. Marinella, Sapan Agarwal, Engin Ipek

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Memristor Model Optimization Based on Parameter Extraction From Device Characterization Data.

Chris Yakopcic, Tarek M. Taha, David J. Mountain, Thomas Salter, Matthew J. Marinella, Mark R. McLean

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM.

Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-Mei Hwu, Kaushik Roy

IEEE Trans. Computers, 2020

Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions.

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

CoRR, 2020

Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture.

Alvaro Velasquez, Christopher H. Bennett, Naimul Hassan, Wesley H. Brigner, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman

CoRR, 2020

CMOS-Free Multilayer Perceptron Enabled by Four-Terminal MTJ Device.

Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman

CoRR, 2020

Evaluating complexity and resilience trade-offs in emerging memory inference machines.

Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Process Variation Model and Analysis for Domain Wall-Magnetic Tunnel Junction Logic.

Xuan Hu, Alexander J. Edwards, T. Patrick Xiao, Christopher H. Bennett, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

CMOS-Free Magnetic Domain Wall Leaky Integrate-and-Fire Neurons with Intrinsic Lateral Inhibition.

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning.

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Device-aware inference operations in SONOS nonvolatile memory arrays.

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

Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

2019

Redox transistors for neuromorphic computing.

Elliot J. Fuller, Yiyang Li, Christopher H. Bennett, Scott T. Keene, Armantas Melianas, Sapan Agarwal, Matthew J. Marinella, Alberto Salleo, A. Alec Talin

IBM J. Res. Dev., 2019

Shape-based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron.

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

CoRR, 2019

Using Floating Gate Memory to Train Ideal Accuracy Neural Networks.

Sapan Agarwal, Diana Garland, John Niroula, Robin B. Jacobs-Gedrim, Alexander H. Hsia, Michael S. van Heukelom, Elliot J. Fuller, Bruce Draper, Matthew J. Marinella

CoRR, 2019

Sparse Data Acquisition on Emerging Memory Architectures.

Tu-Thach Quach, Sapan Agarwal, Conrad D. James, Matthew J. Marinella, James B. Aimone

IEEE Access, 2019

Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.

Christopher H. Bennett, Vivek Parmar, Laurie E. Calvet, Jacques-Olivier Klein, Manan Suri, Matthew J. Marinella, Damien Querlioz

IEEE Access, 2019

Wafer-Scale TaOx Device Variability and Implications for Neuromorphic Computing Applications.

Christopher H. Bennett, Diana Garland, Robin B. Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella

Proceedings of the IEEE International Reliability Physics Symposium, 2019

2018

Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator.

Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James

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

2017

Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks.

Abdullah M. Zyarah, Nicholas Soures, Lydia Hays, Robin Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Impact of Linearity and Write Noise of Analog Resistive Memory Devices in a Neural Algorithm Accelerator.

Robin B. Jacobs-Gedrim, Sapan Agarwal, Kathrine E. Knisely, Jim E. Stevens, Michael S. van Heukelom, David R. Hughart, John Niroula, Conrad D. James, Matthew J. Marinella

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016

Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing.

Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal, Matthew J. Marinella

Computer, 2016

Resistive memory device requirements for a neural algorithm accelerator.

Sapan Agarwal, Steven J. Plimpton, David R. Hughart, Alexander H. Hsia, Isaac Richter, Jonathan A. Cox, Conrad D. James, Matthew J. Marinella

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Reconfigurable Memristive Device Technologies.

Arthur H. Edwards, Hugh J. Barnaby, Kristy A. Campbell, Michael N. Kozicki, Wei Liu, Matthew J. Marinella

Proc. IEEE, 2015

Trapping characteristics and parametric shifts in lateral GaN HEMTs with SiO2/AlGaN gate stacks.

M. P. King, Jeramy Ray Dickerson, S. DasGupta, Matthew J. Marinella, R. J. Kaplar, Daniel Piedra, Min Sun, Tomás Palacios

Proceedings of the IEEE International Reliability Physics Symposium, 2015

2014

Memristors as Synapses in Artificial Neural Networks: Biomimicry Beyond Weight Change.

Andrew J. Lohn, Patrick R. Mickel, James B. Aimone, Erik P. DeBenedictis, Matthew J. Marinella

Proceedings of the Cybersecurity Systems for Human Cognition Augmentation, 2014

Degenerate Resistive Switching and Ultrahigh Density Storage in Resistive Memory.

Andrew J. Lohn, Patrick R. Mickel, Conrad D. James, Matthew J. Marinella

CoRR, 2014

Emerging resistive switching memory technologies: Overview and current status.

Matthew J. Marinella

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014