John Paul Strachan

According to our database, John Paul Strachan authored at least 53 papers between 2010 and 2024.

Collaborative distances:

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

2024

Gain Cell-Based Analog Content Addressable Memory for Dynamic Associative tasks in AI.

Paul-Philipp Manea, Nathan Leroux, Emre Neftci, John Paul Strachan

CoRR, 2024

Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models.

Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci

CoRR, 2024

Roadmap to Neuromorphic Computing with Emerging Technologies.

Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sabina Spiga, Sergey Savelev, Alexander G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Beatriz Noheda, Stefan Slesazeck, Bernard Dieny, Tuo-Hung Hou, Akhil Varri, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Xixiang Zhang, Sebastian Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri B. Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser

CoRR, 2024

Computing High-Degree Polynomial Gradients in Memory.

Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, John Paul Strachan, Dmitri B. Strukov

CoRR, 2024

An Analytical Method to Induce a Multistable Periodic Response to Pulse Trains in a ReRAM Cell.

Alon Ascoli, Fernando Corinto, Marco Gilli, Ahmet Samil Demirkol, Nicolas Schmitt, Ioannis Messaris, Ronald Tetzlaff, John Paul Strachan, Leon O. Chua

Proceedings of the 13th International Conference on Modern Circuits and Systems Technologies, 2024

Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines.

Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming.

Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

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

High-Speed and Energy-Efficient Non-Volatile Silicon Photonic Memory Based on Heterogeneously Integrated Memresonator.

Bassem Tossoun, Di Liang, Stanley Cheung, Zhuoran Fang, Xia Sheng, John Paul Strachan, Raymond G. Beausoleil

CoRR, 2023

Non-idealities and Design Solutions for Analog Memristor-Based Content-Addressable Memories.

Paul-Philipp Manea, Chirag Sudarshan, Felix Cüppers, John Paul Strachan

Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, 2023

Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory.

Jiaao Yu, Paul-Philipp Manea, Sara Ameli, Mohammad Hizzani, Amro Eldebiky, John Paul Strachan

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell from Hewlett Packard Labs.

Alon Ascoli, Nicolas Schmitt, Ioannis Messaris, Ahmet Samil Demirkol, Ronald Tetzlaff, John Paul Strachan, Leon O. Chua

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

State-Space Modeling and Tuning of Memristors for Neuromorphic Computing Applications.

Ming-Jay Yang, John Paul Strachan

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

2022 roadmap on neuromorphic computing and engineering.

Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds

Neuromorph. Comput. Eng., 2022

Experimentally realized memristive memory augmented neural network.

Ruibin Mao, Bo Wen, Yahui Zhao, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, X. Sharon Hu, Xia Sheng, Catherine E. Graves, John Paul Strachan, Can Li

CoRR, 2022

A general tree-based machine learning accelerator with memristive analog CAM.

Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves

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

Integration of Physics-Derived Memristor Models with Machine Learning Frameworks.

Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Prospects for Analog Circuits in Deep Networks.

Shih-Chii Liu, John Paul Strachan, Arindam Basu

CoRR, 2021

2021 Roadmap on Neuromorphic Computing and Engineering.

Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds

CoRR, 2021

Tree-based machine learning performed in-memory with memristive analog CAM.

Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan

CoRR, 2021

Defect tolerant in-memory analog computing with CMOS-integrated nanoscale crossbars: Invited.

Mingrui Jiang, Ruibin Mao, John Paul Strachan, Can Li

Proceedings of the 28th IEEE International Conference on Electronics, 2021

Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators.

Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

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

Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization.

Suhas Kumar, Thomas Van Vaerenbergh, John Paul Strachan

Proceedings of the International Conference on Rebooting Computing, 2020

2019

In situ training of feed-forward and recurrent convolutional memristor networks.

Zhongrui Wang, Can Li, Peng Lin, Mingyi Rao, Yongyang Nie, Wenhao Song, Qinru Qiu, Yunning Li, Peng Yan, John Paul Strachan, Ning Ge, Nathan McDonald, Qing Wu, Miao Hu, Huaqiang Wu, R. Stanley Williams, Qiangfei Xia, J. Joshua Yang

Nat. Mach. Intell., 2019

Long short-term memory networks in memristor crossbar arrays.

Can Li, Zhongrui Wang, Mingyi Rao, Daniel Belkin, Wenhao Song, Hao Jiang, Peng Yan, Yunning Li, Peng Lin, Miao Hu, Ning Ge, John Paul Strachan, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia

Nat. Mach. Intell., 2019

Thermodynamic Computing.

Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander A. Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman H. Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David H. Wolpert, J. Joshua Yang, Yan Yufik

CoRR, 2019

Analog content addressable memories with memristors.

Can Li, Catherine E. Graves, Darrin Miller, John Paul Strachan

CoRR, 2019

Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization.

Fuxi Cai, Suhas Kumar, Thomas Van Vaerenbergh, Rui Liu, Can Li, Shimeng Yu, Qiangfei Xia, J. Joshua Yang, Raymond G. Beausoleil, Wei Lu, John Paul Strachan

CoRR, 2019

FPGA Demonstrator of a Programmable Ultra-Efficient Memristor-Based Machine Learning Inference Accelerator.

Martin Foltin, Glaucimar Aguiar, Rodrigo Antunes, Plínio Silveira, Gustavo Knuppe, Joao Ambrosi, Soumitra Chatterjee, Jitendra Onkar Kolhe, Sunil Lakshiminarashimha, Dejan S. Milojicic, John Paul Strachan, Craig Warner, Amit Sharma, Eddie Lee, Sai Rahul Chalamalasetti, Chris Brueggen, Charles Williams, Nathaniel Jansen, Felipe Saenz, Luis Federico Li

Proceedings of the 2019 IEEE International Conference on Rebooting Computing, 2019

Future Computing Systems (FCS) to Support "Understanding" Capability.

Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker, Catherine Graves, Kimberly Keeton, Suhas Kumar, Can Li, Dejan S. Milojicic, Sergey Serebryakov, John Paul Strachan

Proceedings of the 2019 IEEE International Conference on Rebooting Computing, 2019

PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference.

Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-mei W. Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

The Art and Science of Constructing a Memristor Model: Updated.

Suhas Kumar, Gary Gibson, Catherine E. Graves, Matthew D. Pickett, John Paul Strachan, R. Stanley Williams

Proceedings of the Handbook of Memristor Networks., 2019

2018

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration.

Anirban Nag, Rajeev Balasubramonian, Vivek Srikumar, Ross Walker, Ali Shafiee, John Paul Strachan, Naveen Muralimanohar

IEEE Micro, 2018

Long short-term memory networks in memristor crossbars.

Can Li, Zhongrui Wang, Mingyi Rao, Daniel Belkin, Wenhao Song, Hao Jiang, Peng Yan, Yunning Li, Peng Lin, Miao Hu, Ning Ge, John Paul Strachan, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia

CoRR, 2018

Regular Expression Matching with Memristor TCAMs for Network Security.

Catherine E. Graves, Wen Ma, Xia Sheng, Brent Buchanan, Le Zheng, Sity Lam, Xuema Li, Sai Rahul Chalamalasetti, Lennie Kiyama, Martin Foltin, John Paul Strachan, Matthew P. Hardy

Proceedings of the 14th IEEE/ACM International Symposium on Nanoscale Architectures, 2018

Large Memristor Crossbars for Analog Computing.

Can Li, Yunning Li, Hao Jiang, Wenhao Song, Peng Lin, Zhongrui Wang, J. Joshua Yang, Qiangfei Xia, Miao Hu, Eric Montgomery, Jiaming Zhang, Noraica Dávila, Catherine E. Graves, Zhiyong Li, John Paul Strachan, R. Stanley Williams, Ning Ge, Mark Barnell, Qing Wu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Regular Expression Matching with Memristor TCAMs.

Catherine E. Graves, Wen Ma, Xia Sheng, Brent Buchanan, Le Zheng, Sity Lam, Xuema Li, Sai Rahul Chalamalasetti, Lennie Kiyama, Martin Foltin, Matthew P. Hardy, John Paul Strachan

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning.

Joao Ambrosi, Aayush Ankit, Rodrigo Antunes, Sai Rahul Chalamalasetti, Soumitra Chatterjee, Izzat El Hajj, Guilherme Fachini, Paolo Faraboschi, Martin Foltin, Sitao Huang, Wen-Mei Hwu, Gustavo Knuppe, Sunil Vishwanathpur Lakshminarasimha, Dejan S. Milojicic, Mohan Parthasarathy, Filipe Ribeiro, Lucas Rosa, Kaushik Roy, Plínio Silveira, John Paul Strachan

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

Computing In-Memory, Revisited.

Dejan S. Milojicic, Kirk Bresniker, Gary Campbell, Paolo Faraboschi, John Paul Strachan, Stan Williams

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017

Looking Ahead for Resistive Memory Technology: A broad perspective on ReRAM technology for future storage and computing.

Hai (Helen) Li, Yiran Chen, Chenchen Liu, John Paul Strachan, Noraica Davila

IEEE Consumer Electron. Mag., 2017

Generalize or Die: Operating Systems Support for Memristor-Based Accelerators.

Pedro Bruel, Sai Rahul Chalamalasetti, Chris I. Dalton, Izzat El Hajj, Alfredo Goldman, Catherine Graves, Wen-Mei W. Hwu, Phil Laplante, Dejan S. Milojicic, Geoffrey Ndu, John Paul Strachan

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

Rescuing Memristor-based Neuromorphic Design with High Defects.

Chenchen Liu, Miao Hu, John Paul Strachan, Hai (Helen) Li

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

History Erase Effect in a Non-Volatile Memristor.

Alon Ascoli, Ronald Tetzlaff, Leon O. Chua, John Paul Strachan, Richard Stanley Williams

IEEE Trans. Circuits Syst. I Regul. Pap., 2016

Dot-product engine as computing memory to accelerate machine learning algorithms.

Miao Hu, John Paul Strachan, Zhiyong Li, R. Stanley Williams

Proceedings of the 17th International Symposium on Quality Electronic Design, 2016

ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars.

Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, Vivek Srikumar

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Accelerating Discrete Fourier Transforms with dot-product engine.

Miao Hu, John Paul Strachan

Proceedings of the IEEE International Conference on Rebooting Computing, 2016

Fading memory effects in a memristor for Cellular Nanoscale Network applications.

Alon Ascoli, Ronald Tetzlaff, Leon O. Chua, John Paul Strachan, R. Stanley Williams

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication.

Miao Hu, John Paul Strachan, Zhiyong Li, Emmanuelle M. Grafals, Noraica Davila, Catherine Graves, Sity Lam, Ning Ge, Jianhua Joshua Yang, R. Stanley Williams

Proceedings of the 53rd Annual Design Automation Conference, 2016

2013

Physics-based memristor models.

R. Stanley Williams, Matthew D. Pickett, John Paul Strachan

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

2012

Designing memristors: Physics, materials science and engineering.

Gilberto Medeiros-Ribeiro, J. Joshua Yang, Janice H. Nickel, Antonio Torrezan, John Paul Strachan, R. Stanley Williams

Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

2011

CMOS interface circuits for reading and writing memristor crossbar array.

Muhammad Shakeel Qureshi, Matthew D. Pickett, Feng Miao, John Paul Strachan

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

2010

Hybrid CMOS/memristor circuits.

Dmitri B. Strukov, Duncan R. Stewart, Julien Borghetti, Xuema Li, Matthew D. Pickett, Gilberto Medeiros-Ribeiro, Warren Robinett, Gregory S. Snider, John Paul Strachan, Wei Wu, Qiangfei Xia, J. Joshua Yang, R. Stanley Williams

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010