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Publication	Type	Year
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
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
Sandia National Laboratories COVID-19 LDRD Project Summaries Amy Treece, William Corbin, Susan A. Caskey, Raga Krishnakumar, Kelly Porter Williams, Darren W. Branch, Brooke Nicole Harmon, Ronen Polsky, Travis Ladell Bauer, Patrick D. Finley, Robert Fredric Jeffers, Cosmin Safta, Monear Makvandi, Carl Damon Laird, Stefan P. Domino, Clifford K. Ho, Anne Mary Grillet, Jose L Pacheco, Martin Nemer, Grant Andrew Rossman, Jeffrey P. Koplow, Mathias C. Celina, Brad Howard Jones, Patrick D Burton, Ryan P Haggerty, Robin B Jacobs-Gedrim, Paul Mark Thelen https://www.osti.gov/search/identifier:1617440	Report – 2020 Report	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
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
Ultra-Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars Energy Consequences of Information Workshop Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, David Russell Hughart, Isaac Richter, Alexander W Hsia, Elliot James Fuller, Albert Alec Talin, Ronald S. Goeke, Steven J. Plimpton, Conrad D. James https://www.osti.gov/search/identifier:1641228	Conference Paper – 2019 Conference Paper	2019
Ultra-Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars Energy Consequences of Information Workshop Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, David Russell Hughart, Isaac Richter, Alexander W Hsia, Elliot James Fuller, Albert Alec Talin, Ronald S. Goeke, Steven J. Plimpton, Conrad D. James https://www.osti.gov/search/identifier:1641227	Conference Paper – 2019 Conference Paper	2019
Nanoionics for Neuromorphic Computing 21st International Conference on Solid State Ionics Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, Alexander W Hsia, David Russell Hughart, Elliot James Fuller, Steven J. Plimpton, Ronald S. Goeke, Albert Alec Talin, Conrad D. James	Abstract – 2019 Abstract	2019
Ultra-Efficient Neural Algorithm Accelerator Using Processing With Memory 5th Neuro Inspired Computational Elements Workshop Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, Alexander W Hsia, David Russell Hughart, Isaac Richter, Elliot James Fuller, Steven J. Plimpton, Albert Alec Talin, Conrad D. James https://www.osti.gov/search/identifier:1641230	Conference Paper – 2019 Conference Paper	2019
Ultra-Efficient Neural Algorithm Accelerator Using Processing With Memory (Poster) 5th Neuro Inspired Computational Elements Workshop Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, Alexander W Hsia, David Russell Hughart, Isaac Richter, Elliot James Fuller, Steven J. Plimpton, Albert Alec Talin, Conrad D. James https://www.osti.gov/search/identifier:1641229	Conference Paper – 2019 Conference Paper	2019
Energy Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars Microelectronics Reliability & Qualification Working Meeting Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, David Russell Hughart, Isaac Richter, Alexander W Hsia, Elliot James Fuller, Albert Alec Talin, Ronald S. Goeke, Steven J. Plimpton, Conrad D. James https://www.osti.gov/search/identifier:1583083	Conference Paper – 2018 Conference Paper	2018
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator IEEE Journal of Emerging Topics in Circuits and Systems (JETCAS) Matthew Marinella, Sapan Agarwal, Alexander W Hsia, Isaac (U Rochester) Richter, Robin B Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin (U Rochester) Ipek, Conrad D. James	Journal Article – 2018 Journal Article	2018
Designing an Analog Crossbar based Neuromorphic Accelerator Fifth Berkeley Symposium on Energy Efficient Electronic Systems & Steep Transistors Workshop Sapan Agarwal, Alexander W Hsia, Robin B Jacobs-Gedrim, David Russell Hughart, Steven J. Plimpton, Conrad D. James, Matthew Marinella https://www.osti.gov/search/identifier:1479183	Conference Paper – 2017 Conference Paper	2017
Designing an Analog Crossbar based Neuromorphic Accelerator Fifth Berkeley Symposium on Energy Efficient Electronic Systems & Steep Transistors Workshop Sapan Agarwal, Alexander W Hsia, Robin B Jacobs-Gedrim, David Russell Hughart, Steven J. Plimpton, Conrad D. James, Matthew Marinella https://www.osti.gov/search/identifier:1510608	Conference Paper – 2017 Conference Paper	2017
Nanoionics for Neuromorphic Computing 21st International Conference on Solid State Ionics Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, Alexander W Hsia, David Russell Hughart, Elliot James Fuller, Steven J. Plimpton, Ronald S. Goeke, Albert Alec Talin, Conrad D. James	Abstract – 2017 Abstract	2017
Achieving Ideal Accuracies in Analog Neuromorphic Computing Using Periodic Carry 2017 Symposia on VLSI Circuits and Technlology Sapan Agarwal, Robin B Jacobs-Gedrim, Alexander W Hsia, David Russell Hughart, Elliot James Fuller, Albert Alec Talin, Conrad D. James, Steven J. Plimpton, Matthew Marinella https://www.osti.gov/search/identifier:1458091	Conference Paper – 2017 Conference Paper	2017
Achieving Ideal Accuracies in Analog Neuromorphic Computing Using Periodic Carry 2017 Symposia on VLSI Technology and Circuits Sapan Agarwal, Robin B Jacobs-Gedrim, Alexander W Hsia, David Russell Hughart, Elliot James Fuller, Albert Alec Talin, Conrad D. James, Steven J. Plimpton, Matthew Marinella https://www.osti.gov/search/identifier:1457999	Conference Paper – 2017 Conference Paper	2017
Non-volatile redox cells as resistive memory for brain inspired computing Materials Research Society Spring Meeting Elliot James Fuller, Farid El Gabaly Marquez, Francois Leonard, Sapan Agarwal, Steven J. Plimpton, Robin B Jacobs-Gedrim, Conrad D. James, Matthew Marinella, Albert Alec Talin https://www.osti.gov/search/identifier:1456483	Conference Paper – 2017 Conference Paper	2017
Neural machine learning algorithms and hardware for image analysis and data science applications 2016 International Conference on Brain Informatics and Health, International Workshop on Neuromorphic Computing and Algorithms Conrad D. James, William Mark Severa, Timothy J. Draelos, James Bradley Aimone, Craig Michael Vineyard, Sapan Agarwal, Alexander W Hsia, David Russell Hughart, Patrick Sean Finnegan, Robin B Jacobs-Gedrim, Elliot James Fuller, Albert Alec Talin, Matthew Marinella, Richard Schiek, Steven J. Plimpton https://www.osti.gov/search/identifier:1398356	Conference Paper – 2016 Conference Paper	2016
Neuromorphic Algorithm Acceleration with Resistive Memory NanoCrossbars IRDS Emerging Research Devices and Architectures NanoCrossbar Workshop Matthew Marinella, Sapan Agarwal, Elliot James Fuller, Albert Alec Talin, Farid El Gabaly Marquez, Robin B Jacobs-Gedrim, David Russell Hughart, Ronald S. Goeke, Alexander W Hsia, Richard Schiek, Steven J. Plimpton, Conrad D. James https://www.osti.gov/search/identifier:1373226	Presentation (non-conference) – 2016 Presentation (non-conference)	2016
Device to System Modeling Framework to Enable a 10 fJ per Instruction Neuromorphic Computer Neuromorphic ComputingArchitectures, Models, Applications Matthew Marinella, Sapan Agarwal, Albert Alec Talin, Frederick B. McCormick, Steven J. Plimpton, Farid El Gabaly Marquez, Elliot James Fuller, Robin B Jacobs-Gedrim, David Russell Hughart, Ronald S. Goeke, Alexander W Hsia https://www.osti.gov/search/identifier:1372152	Conference Paper – 2016 Conference Paper	2016
Multiscale Modeling of a ReRAM Based Neuromorphic Accelerator Iccad Matthew Marinella, Sapan Agarwal, Alexander W Hsia, David Russell Hughart, Robin B Jacobs-Gedrim, Richard Schiek, Steven J. Plimpton, Conrad D. James	Abstract – 2016 Abstract	2016
Document Title	Type	Year

Publications

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

Energy-efficient stateful logic with magnetic domain walls

Sandia National Laboratories COVID-19 LDRD Project Summaries

Energy-efficient stateful logic with magnetic domain walls

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

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

Ultra-Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars

Ultra-Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars

Nanoionics for Neuromorphic Computing

Ultra-Efficient Neural Algorithm Accelerator Using Processing With Memory

Ultra-Efficient Neural Algorithm Accelerator Using Processing With Memory (Poster)

Energy Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars

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

Designing an Analog Crossbar based Neuromorphic Accelerator

Designing an Analog Crossbar based Neuromorphic Accelerator

Nanoionics for Neuromorphic Computing

Achieving Ideal Accuracies in Analog Neuromorphic Computing Using Periodic Carry

Achieving Ideal Accuracies in Analog Neuromorphic Computing Using Periodic Carry

Non-volatile redox cells as resistive memory for brain inspired computing

Neural machine learning algorithms and hardware for image analysis and data science applications

Neuromorphic Algorithm Acceleration with Resistive Memory NanoCrossbars

Device to System Modeling Framework to Enable a 10 fJ per Instruction Neuromorphic Computer

Multiscale Modeling of a ReRAM Based Neuromorphic Accelerator