Publications

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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

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

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

Mosaic, The Best of Both Worlds: Analog devices with Digital Spiking Communication to build a Hybrid Neural Network Accelerator

James Bradley Aimone, Christopher Bennett, Suma George Cardwell, Ryan Anthony Dellana, Tianyao Xiao

https://www.osti.gov/search/identifier:1673175

SAND Report – 2020 SAND Report 2020

Energy-efficient stateful logic with magnetic domain walls

No specific conference

Tianyao Xiao, Christopher Bennett, Xuan Hu, Benjamin Feinberg, Robin B Jacobs-Gedrim, Sapan Agarwal, John Brunhaver, Joseph Friedman, Jean Anne Incorvia, Matthew Marinella

https://www.osti.gov/search/identifier:1819252

Presentation (non-conference) – 2020 Presentation (non-conference) 2020

40nm embedded SONOS 8-bit analog memory capable of ultralow power inference with near-digital ImageNet accuracy

International Electron Devices Meeting (IEDM)

Tianyao Xiao, Christopher Bennett, Benjamin Feinberg, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Harsha Medu, Vinay Mannikoth, Prashant Saxena, Michael Amundson, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew Marinella

Abstract – 2020 Abstract 2020

Analog Architectures for Neural Network Acceleration Based on Non-Volatile Memory: A Review

Applied Physics Reviews

Tianyao Xiao, Christopher Bennett, Benjamin Feinberg, Sapan Agarwal, Matthew Marinella

https://www.osti.gov/search/identifier:1668360

Journal Article – 2020 Journal Article 2020

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

2020 Neuro-Inspired Computational Elements Workshop

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:1768142

Conference Paper – 2020 Conference Paper 2020

Energy-efficient stateful logic with magnetic domain walls

SPIE Optics + Photonics

Tianyao Xiao, Christopher Bennett, Xuan Hu, Benjamin Feinberg, Robin B Jacobs-Gedrim, Sapan Agarwal, John Brunhaver, Joseph Friedman, Jean Anne Incorvia, Matthew Marinella

Abstract – 2020 Abstract 2020

Device-aware inference operations in SONOS non-volatile memory arrays

International Reliability Physics Symposium

Christopher Bennett, Tianyao Xiao, Ryan Anthony Dellana, Benjamin Feinberg, Sapan Agarwal, Matthew Marinella, Vineet Agrawal, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Long Hinh, Swatilekha Saha, Vijay Raghavan, Ramesh Chettuvetty Chettuvetty

https://www.osti.gov/search/identifier:1765314

Conference Paper – 2020 Conference Paper 2020

Energy and Performance Benchmarking of Domain Wall-Magnetic Tunnel Junction Logic Circuits

IEEE International Magnetics Conference

Tianyao Xiao, Christopher Bennett, Xuan Hu, Benjamin Feinberg, Robin B Jacobs-Gedrim, Sapan Agarwal, John Brunhaver, Joseph Friedman, Jean Anne Incorvia, Matthew Marinella

Abstract – 2020 Abstract 2020

Energy and Performance Benchmarking of a Domain Wall-Magnetic Tunnel Junction Multibit Adder

IEEE Journal of Exploratory Solid-State Computational Devices and Circuits

Tianyao Xiao, Christopher Bennett, Xuan Hu, Benjamin Feinberg, Robin B Jacobs-Gedrim, Sapan Agarwal, John Brunhaver, Joseph Friedman, Jean Anne Incorvia, Matthew Marinella

https://www.osti.gov/search/identifier:1595031

Journal Article – 2019 Journal Article 2019

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

Neuro-Inspired Computational Elements Workshop

Suma George Cardwell, Christopher Bennett, James Bradley Aimone, Ryan Anthony Dellana, Sapan Aggarwal

https://www.osti.gov/search/identifier:1643292

Conference Paper – 2019 Conference Paper 2019

Device-aware inference operations in SONOS non-volatile memory arrays

2020 IEEE International Reliability Physics Symposium

Christopher Bennett, Tianyao Xiao, Ryan Anthony Dellana, Benjamin Feinberg, V. Prabhakar, K. Ramkumar, V. Agrawal, L. Hinh, S. Saha, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew Marinella

Abstract – 2019 Abstract 2019

Mosaics, a technique to make neuromorphic computing scalable, adaptive and flexible

International Conference on Artificial Intelligence Circuits and Systems

Suma George Cardwell, James Bradley Aimone, Christopher Bennett, Ryan Anthony Dellana, Suma George Cardwell, William Mark Severa

https://www.osti.gov/search/identifier:1642761

Conference Paper – 2019 Conference Paper 2019
Document Title Type Year