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Publication	Type	Year
MIDN Grace Hastings MAC Program Outbrief United States Naval Academy Gwendolyn Renae Voskuilen, Benjamin Feinberg	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
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
The Past, Present, and Future of High Performance Computing MARTIANS Seminar Series Benjamin Feinberg, Clayton Hughes	Presentation (non-conference) – 2022 Presentation (non-conference)	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
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
Advanced Architectures UNM Seminar Series Spring 2022 Benjamin Feinberg	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Creating Next-Generation High Performance Computing (Flyer with 2/4 abstracts) Ann C. Gentile, Simon David Hammond, Clayton Hughes, Benjamin Feinberg	Marketing or Promotional – 2022 Marketing or Promotional	2022
Advanced Capabilities and Radiation Modeling in Silicon-on-Insulator Technology Sandia Day at the University of Texas (an academic alliance event) Jacob Nathanael Rohan, Alexander Nguyen, Benjamin Feinberg, Sapan Agarwal, Travis Forbes, Jaydeep P. Kulkarni	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Achieving Accurate In-Memory Neural Network Inference with Highly Overlapping Nonvolatile Memory State Distributions IEEE Electron Devices Technology and Manufacturing Conference 2022 Matthew Marinella, Tianyao Xiao, Benjamin Feinberg, Christopher Bennett, Vineet Agrawal, Helmut Puchner, Sapan Agarwal	Conference Presentation – 2022 Conference Presentation	2022
Energy Efficient Deep Neural Network Processing: Digital CMOS Limits and Prospects for Analog In-Memory Computing Energy Consequences of Information conference Matthew Marinella, Tianyao Xiao, Christopher Bennett, Benjamin Feinberg, William Wahby, Robin B Jacobs-Gedrim, Vineet Agrawal, Helmut Puchner, Hugh Barnaby, Sapan Agarwal	Conference Presentation – 2022 Conference Presentation	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
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
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
Document Title	Type	Year

Results 1–25 of 44

Publications

MIDN Grace Hastings MAC Program Outbrief

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

The Past, Present, and Future of High Performance Computing

CrossSim Inference Manual v2.0

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

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

Advanced Architectures

Creating Next-Generation High Performance Computing (Flyer with 2/4 abstracts)

Advanced Capabilities and Radiation Modeling in Silicon-on-Insulator Technology

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

Energy Efficient Deep Neural Network Processing: Digital CMOS Limits and Prospects for Analog In-Memory Computing

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

Radiation Hard Computing using Spintronics

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

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