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Publication	Type	Year
Subthreshold operation of SONOS analog memory to enable accurate low-power neural network inference 2022 International Electron Devices Meeting (IEDM) Vineet Agrawal, Tianyao Xiao, Christopher Bennett, Benjamin Feinberg, Shivananda Shetty, Harsha Medu, Kiran Thekkekera, Ramesh Chettuvetty, Sam Leshner, Zharina Luzada, Long Hinh, Tuan Phan, Matthew Marinella, Sapan Agarwal	Abstract – 2022 Abstract	2022
CrossSim Inference Manual v2.0 Tianyao Xiao, Christopher Bennett, Benjamin Feinberg, Matthew Marinella, Sapan Agarwal https://www.osti.gov/search/identifier:1869509	Report – 2022 Report	2022
Eris: Fault Injection and Tracking Framework for Reliability Analysis of Open-Source Hardware 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS'22) Shubham Nema, Justin Kirschner, Debpratim Adak, Sapan Agarwal, Benjamin Feinberg, Arun F. Rodrigues, Matthew Marinella, Amro Awad	Conference Presentation – 2022 Conference Presentation	2022
Control of radial conductivity profiles in nanoscale conducting filaments of resistive switches Nature Nanotechnology Andrew Lohn, Denis Mamaluy, Matthew Marinella	Journal Article – 2022 Journal Article	2022
Control of radial conductivity profiles in nanoscale conducting filaments of resistive switches Nature Nanotechnology Patrick R. Mickel, Andrew Lohn, Denis Mamaluy, Matthew Marinella	Journal Article – 2022 Journal Article	2022
Power signatures of electric field and thermal switching regimes in memristive SET transitions Applied PHysics Letters David Russell Hughart, Xujiao Gao, Denis Mamaluy, Matthew Marinella, Patrick R. Mickel https://www.osti.gov/search/identifier:1871986	Journal Article – 2022 Journal Article	2022
Eris: Fault Injection and Tracking Framework for Reliability Analysis of Open-Source Hardware 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS'22) Shubham Nema, Justin Kirschner, Debpratim Adak, Sapan Agarwal, Benjamin Feinberg, Arun F. Rodrigues, Matthew Marinella, Amro Awad	Conference Paper – 2022 Conference Paper	2022
An accurate, error-tolerant and energy-efficient neural network inference engine based on SONOS analog memory IEEE Transactions on Circuits and Systems IRegular Papers Tianyao Xiao, Benjamin Feinberg, Christopher Bennett, Vineet Agrawal, Prashant Saxena, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Harsha Medu, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew Marinella https://www.osti.gov/search/identifier:1842837	Journal Article – 2022 Journal Article	2022
Radiation Hard Computing using Spintronics The 7th US Government working group on magnetic tunnel junctions (MTJs) Matthew Marinella, Tianyao Xiao, Christopher Bennett, Benjamin Feinberg, Jean Anne Incorvia, Reza Arghavani, David Russell Hughart	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Spintronic Phenomena for Reversible, Neuromorphic, and Reservoir Computing 2022 Energy Consequences of Information Workshop Joseph S. Friedman, Sanjeev Aggarwal, Otitoaleke Akinola, Jayasimha Atulasimha, Christpher H. Bennett, Wesley H. Brigner, Dhritiman Bhattacharya, Maverick Chauwin, Can Cui, Laura Deremo, Alexander J. Edwards, Michael P Frank, Felipe Garcia-Sanchez, Naimul Hassan, Stephen K. Heinrich-Barna, Dimitri Houssameddine, Xuan Hu, Jean Anne C. Incorvia, Lisa Loomis, Frederick B. Mancoff, Matthew Marinella, Nathan R. McDonald, Alexandru Paler, Clare D. Thiem, Alvaro Velasquez, Benjamin W. Walker, Tianyao Xiao, Peng Zhou	Abstract – 2021 Abstract	2021
Energy Efficient Deep Neural Network Processing 2022 Energy Consequences of Information Workshop Matthew Marinella, Tianyao Xiao, Christopher Bennett, Benjamin Feinberg, Sapan Agarwal	Abstract – 2021 Abstract	2021
Achieving Accurate In-Memory Neural Network Inference with Highly Overlapping Nonvolatile Memory State Distributions Electron Device Tech and Manufacturing Conf, 2022 Matthew Marinella, Tianyao Xiao, Benjamin Feinberg, Christopher Bennett, Vineet Agrawal, Helmut Puchner, Sapan Agarwal	Abstract – 2021 Abstract	2021
CrossSim: GPU-Accelerated Simulation of Analog Neural Networks ModSim 2021 Tianyao Xiao, Christopher Bennett, Benjamin Feinberg, Matthew Marinella, Sapan Agarwal	Conference Presentation – 2021 Conference Presentation	2021
Analysis and Mitigation of Parasitic Resistance Effects for Analog In-Memory Neural Network Acceleration Semiconductor Science and Technology Tianyao Xiao, Benjamin Feinberg, Jacob Nathanael Rohan, Christopher Bennett, Sapan Agarwal, Matthew Marinella https://www.osti.gov/search/identifier:1828786	Journal Article – 2021 Journal Article	2021
Thermal Infrared Detectors: expanding performance limits using ultrafast electron microscopy Albert Alec Talin, Scott Ellis, Norman C. Bartelt, Francois Leonard, Christopher Perez, Km Celio, Elliot James Fuller, David Russell Hughart, Diana Garland, Matthew Marinella, Joseph R. Michael, David W. Chandler, Steve Michael Young, Sean M Smith, Suhas Kumar https://www.osti.gov/search/identifier:1821971	SAND Report – 2021 SAND Report	2021
Energy Efficient Computing R&D Roadmap Outline for Automated Vehicles Rob Aitken, Yorie Nakahira, John Paul Strachan, Kirk Bresniker, Ian Young, Zhiyong Li, Leonard E. Klebanoff, Carrie L Burchard, Suhas Kumar, Matthew Marinella, William Mark Severa, Albert Alec Talin, Craig Michael Vineyard, Christian Mailhiot, Robert Dick, Wei Lu, Jace Mogill https://www.osti.gov/search/identifier:1821804	Report – 2021 Report	2021
Designing Accurate and Robust Analog Accelerators for Neural Networks and Linear Algebra Sandia & Georgia Tech WorkshopHeterogeneous Integration & Co-Design Tianyao Xiao, Benjamin Feinberg, Christopher Bennett, Sapan Agarwal, Matthew Marinella	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
CrossSim: GPU-Accelerated Simulation of Analog Neural Networks ModSim2021 Tianyao Xiao, Christopher Bennett, Benjamin Feinberg, Matthew Marinella, Sapan Agarwal	Abstract – 2021 Abstract	2021
Multi-scale System Modeling of Single Event Induced Faults in Advanced Node Processors IEEE Transactions on Nuclear Science Matthew Joel Cannon, Arun F. Rodrigues, Dolores Archuleta Black, Jeff Black, Luis Gabriel Bustamante, Benjamin Feinberg, Heather M Quinn, Clark Lawrence, John Steven Brunhaver, Barnaby Hugh, Michael Lee McLain, Sapan Agarwal, Matthew Marinella https://www.osti.gov/search/identifier:1787522	Journal Article – 2021 Journal Article	2021
Evaluating complexity and resilience trade-offs in emerging memory inference machines NICE Virtual Conference Proceedings Christopher Bennett, Ryan Anthony Dellana, Tianyao Xiao, Benjamin Feinberg, Sapan Agarwal, Suma George Cardwell, Matthew Marinella, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1859699	Conference Presentation – 2021 Conference Presentation	2021
Enabling Guaranteed Correctness and Leading Edge Performance under Radiation with a Heterogeneous System GOMACTech Conference Benjamin Feinberg, Arun F. Rodrigues, Matthew Marinella, Sapan Agarwal https://www.osti.gov/search/identifier:1856761	Conference Presentation – 2021 Conference Presentation	2021
Analog-Domain Computation for Solving Numerical Systems Sandia Academic Alliance Spring 2021 UT Austin LDRD Virtual Poster Session Jacob Nathanael Rohan, Alex Nguyen, Benjamin Feinberg, Sapan Agarwal, Matthew Marinella, Travis Forbes, Jaydeep Kulkarni https://www.osti.gov/search/identifier:1856078	Display or Poster (non-conference) – 2021 Display or Poster (non-conference)	2021
Enabling Guaranteed Correctness and Leading Edge Performance under Radiation with a Heterogeneous System GOMACTech Conference Benjamin Feinberg, Arun F. Rodrigues, Sapan Agarwal, Matthew Marinella https://www.osti.gov/search/identifier:1847230	Conference Paper – 2021 Conference Paper	2021
An Analog Preconditioner for Solving Linear Systems The 27th IEEE International Symposium on High-Performance Computer Architecture (HPCA-27) Benjamin Feinberg, Ryan Ming Wong, Tianyao Xiao, Jacob Nathanael Rohan, Erik Gunnar Boman, Matthew Marinella, Sapan Agarwal, Engin Ipek https://www.osti.gov/search/identifier:1847491	Conference Presentation – 2021 Conference Presentation	2021
An Analog Preconditioner for Solving Linear Systems The 27th IEEE International Symposium on High-Performance Computer Architecture (HPCA-27) Benjamin Feinberg, Ryan Ming Wong, Tianyao Xiao, Jacob Nathanael Rohan, Erik Gunnar Boman, Matthew Marinella, Sapan Agarwal, Engin Ipek https://www.osti.gov/search/identifier:1848047	Conference Presentation – 2021 Conference Presentation	2021
Document Title	Type	Year

Results 1–25 of 96

Publications

Subthreshold operation of SONOS analog memory to enable accurate low-power neural network inference

CrossSim Inference Manual v2.0

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

Control of radial conductivity profiles in nanoscale conducting filaments of resistive switches

Control of radial conductivity profiles in nanoscale conducting filaments of resistive switches

Power signatures of electric field and thermal switching regimes in memristive SET transitions

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

An accurate, error-tolerant and energy-efficient neural network inference engine based on SONOS analog memory

Radiation Hard Computing using Spintronics

Spintronic Phenomena for Reversible, Neuromorphic, and Reservoir Computing

Energy Efficient Deep Neural Network Processing

Achieving Accurate In-Memory Neural Network Inference with Highly Overlapping Nonvolatile Memory State Distributions

CrossSim: GPU-Accelerated Simulation of Analog Neural Networks

Analysis and Mitigation of Parasitic Resistance Effects for Analog In-Memory Neural Network Acceleration

Thermal Infrared Detectors: expanding performance limits using ultrafast electron microscopy

Energy Efficient Computing R&D Roadmap Outline for Automated Vehicles

Designing Accurate and Robust Analog Accelerators for Neural Networks and Linear Algebra

CrossSim: GPU-Accelerated Simulation of Analog Neural Networks

Multi-scale System Modeling of Single Event Induced Faults in Advanced Node Processors

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

Enabling Guaranteed Correctness and Leading Edge Performance under Radiation with a Heterogeneous System

Analog-Domain Computation for Solving Numerical Systems

Enabling Guaranteed Correctness and Leading Edge Performance under Radiation with a Heterogeneous System

An Analog Preconditioner for Solving Linear Systems

An Analog Preconditioner for Solving Linear Systems