John Paul Strachan

79 papers A* 4A 2C 11Journal 36Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating Hybrid XOR-CNF SAT Problems Natively with In-Memory Computing. CoRR Haesol Im, Fabian Böhm, Giacomo Pedretti, Noriyuki Kushida, Moslem Noori, Elisabetta Valiante, Xiangyi Zhang, Chan-Woo Yang, Tinish Bhattacharya, Xia Sheng, Jim Ignowski, Arne Heittmann, John Paul Strachan, Masoud Mohseni, Raymond G. Beausoleil, Thomas Van Vaerenbergh, Ignacio Rozada
2025	C	`conf`	Analog Softmax with Wide Input Current Range for In-Memory Computing. ISCAS Aradhana Dube, Paul Manea, Paolo Gibertini, Erika Covi, John Paul Strachan
2025	J	`jnl`	Analog in-memory computing attention mechanism for fast and energy-efficient large language models. Nat. Comput. Sci. Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
2025	—	`conf`	Associative clustering with analog content-addressable memory. MEMSYS Sara Ameli, Jiaao Yu, John Paul Strachan
2025	—	`conf`	Biologically Inspired Multi-Timescale Sequence Processing in Hybrid CMOS-Memristive Hardware. ICECS Ming-Jay Yang, Pascal Nieters, Johannes Hellwig, Dimitrios Spithouris, Regina Dittmann, Gordon Pipa, John Paul Strachan
2025	C	`conf`	Gain Cell-based Analog Content Addressable Memory for Dynamic Associative Tasks in AI. ISCAS Paul-Philipp Manea, Nathan Leroux, Emre Neftci, John Paul Strachan
2025	J	`jnl`	Hardware-Compatible Single-Shot Feasible-Space Heuristics for Solving the Quadratic Assignment Problem. CoRR Haesol Im, Chan-Woo Yang, Moslem Noori, Dmitrii Dobrynin, Elisabetta Valiante, Giacomo Pedretti, Arne Heittmann, Thomas Van Vaerenbergh, Masoud Mohseni, John Paul Strachan, Dmitri B. Strukov, Raymond G. Beausoleil, Ignacio Rozada
2025	C	`conf`	IMSSA: Deploying modern state-space models on memristive in-memory compute hardware. ISCAS Sebastian Siegel, Ming-Jay Yang, John Paul Strachan
2025	C	`conf`	Impact of Variability Compensation on the Performance of an RRAM-based 3-SAT Solver. ISCAS Arne Heittmann, Mohammad Hizzani, John Paul Strachan
2025	—	`conf`	Improved Memristor Control using Device Physics and Deep Reinforcement Learning. AICAS Ming-Jay Yang, Zhenming Yu, Giacomo Pedretti, Emre Neftci, John Paul Strachan
2025	—	`conf`	KLIMA: Low-latency mixed-signal In-Memory Computing accelerator for solving arbitrary-order Boolean Satisfiability. HCS Tinish Bhattacharya, Dongseok Kwon, George Higgins Hutchinson, Xiangyi Zhang, Giacomo Pedretti, Fabian Böhm, John Paul Strachan, Thomas Van Vaerenbergh, Ray Beausoleil, Ignacio Rozada, Dmitri B. Strukov
2025	J	`jnl`	Nonlocal Monte Carlo via Reinforcement Learning. CoRR Dmitrii Dobrynin, Masoud Mohseni, John Paul Strachan
2025	—	`conf`	Not All Neurons Are Equal: Enhancing Hopfield Networks for Solving Quadratized Higher-Order Combinatorial Optimization. NewCAS Mohammad Hizzani, Arne Heittmann, John Paul Strachan
2025	J	`jnl`	QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models. CoRR Sebastian Siegel, Ming-Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan
2025	J	`jnl`	Real-time raw signal genomic analysis using fully integrated memristor hardware. CoRR Peiyi He, Shengbo Wang, Ruibin Mao, Sebastian Siegel, Giacomo Pedretti, Jim Ignowski, John Paul Strachan, Ruibang Luo, Can Li
2025	J	`jnl`	Real-time raw signal genomic analysis using fully integrated memristor hardware. Nat. Comput. Sci. Peiyi He, Shengbo Wang, Ruibin Mao, Mingrui Jiang, Sebastian Siegel, Giacomo Pedretti, Jim Ignowski, John Paul Strachan, Ruibang Luo, Can Li
2025	J	`jnl`	Solving Boolean satisfiability problems with resistive content addressable memories. CoRR Giacomo Pedretti, Fabian Böhm, Tinish Bhattacharya, Arne Heittmann, Xiangyi Zhang, Mohammad Hizzani, George Higgins Hutchinson, Dongseok Kwon, John Moon, Elisabetta Valiante, Ignacio Rozada, Catherine E. Graves, Jim Ignowski, Masoud Mohseni, John Paul Strachan, Dmitri B. Strukov, Raymond G. Beausoleil, Thomas Van Vaerenbergh
2024	—	`conf`	An Analytical Method to Induce a Multistable Periodic Response to Pulse Trains in a ReRAM Cell. MOCAST Alon Ascoli, Fernando Corinto, Marco Gilli, Ahmet Samil Demirkol, Nicolas Schmitt, Ioannis Messaris, Ronald Tetzlaff, John Paul Strachan, Leon O. Chua
2024	J	`jnl`	Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models. CoRR Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
2024	J	`jnl`	Computing High-Degree Polynomial Gradients in Memory. CoRR Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, John Paul Strachan, Dmitri B. Strukov
2024	J	`jnl`	Gain Cell-Based Analog Content Addressable Memory for Dynamic Associative tasks in AI. CoRR Paul-Philipp Manea, Nathan Leroux, Emre Neftci, John Paul Strachan
2024	—	`conf`	Gradient matching of higher order combinatorial optimization in quadratic Ising machines. ICRC Dmitrii Dobrynin, Mauricio Tedeschi, Arne Heittmann, John Paul Strachan
2024	J	`jnl`	IMSSA: Deploying modern state-space models on memristive in-memory compute hardware. CoRR Sebastian Siegel, Ming-Jay Yang, John Paul Strachan
2024	J	`jnl`	Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. CoRR Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
2024	C	`conf`	Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines. ISCAS Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan
2024	J	`jnl`	Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR 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
2024	—	`conf`	The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming. AICAS Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
2024	J	`jnl`	The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming. CoRR Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
2023	—	`conf`	Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory. MetroXRAINE Jiaao Yu, Paul-Philipp Manea, Sara Ameli, Mohammad Hizzani, Amro Eldebiky, John Paul Strachan
2023	J	`jnl`	Analog Feedback-Controlled Memristor programming Circuit for analog Content Addressable Memory. CoRR Jiaao Yu, Paul-Philipp Manea, Sara Ameli, Mohammad Hizzani, Amro Eldebiky, John Paul Strachan
2023	J	`jnl`	High-Speed and Energy-Efficient Non-Volatile Silicon Photonic Memory Based on Heterogeneously Integrated Memresonator. CoRR Bassem Tossoun, Di Liang, Stanley Cheung, Zhuoran Fang, Xia Sheng, John Paul Strachan, Raymond G. Beausoleil
2023	—	`conf`	Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell from Hewlett Packard Labs. MetroXRAINE Alon Ascoli, Nicolas Schmitt, Ioannis Messaris, Ahmet Samil Demirkol, Ronald Tetzlaff, John Paul Strachan, Leon O. Chua
2023	J	`jnl`	Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines. CoRR Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan
2023	—	`conf`	Non-idealities and Design Solutions for Analog Memristor-Based Content-Addressable Memories. NANOARCH Paul-Philipp Manea, Chirag Sudarshan, Felix Cüppers, John Paul Strachan
2023	—	`ed.`	Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, NANOARCH 2023, Dresden, Germany, December 18-20, 2023 NANOARCH Ronald Tetzlaff, Fernando Corinto, Neil Kemp, Alon Ascoli, Andreas Mögel, Meng-Fan Marvin Chang, Joseph S. Friedman, Siting Liu, John Paul Strachan, Stephan Menzel, Mehdi B. Tahoori, Martin Ziegler, Jason Eshraghian, Ioannis Messaris, Christian Koitzsch, Thomas Mikolajick, Vasileios G. Ntinas
2023	J	`jnl`	Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer 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
2023	—	`conf`	State-Space Modeling and Tuning of Memristors for Neuromorphic Computing Applications. ICONS Ming-Jay Yang, John Paul Strachan
2022	J	`jnl`	2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 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, Nini Pryds
2022	C	`conf`	A general tree-based machine learning accelerator with memristive analog CAM. ISCAS Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves
2022	J	`jnl`	Experimentally realized memristive memory augmented neural network. CoRR 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
2022	—	`conf`	Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. IEEECONF Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
2021	J	`jnl`	2021 Roadmap on Neuromorphic Computing and Engineering. CoRR 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, Nini Pryds
2021	—	`conf`	Defect tolerant in-memory analog computing with CMOS-integrated nanoscale crossbars: Invited. ICECS Mingrui Jiang, Ruibin Mao, John Paul Strachan, Can Li
2021	—	`conf`	Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC 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
2021	J	`jnl`	Prospects for Analog Circuits in Deep Networks. CoRR Shih-Chii Liu, John Paul Strachan, Arindam Basu
2021	J	`jnl`	Tree-based machine learning performed in-memory with memristive analog CAM. CoRR Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan
2020	—	`conf`	Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization. ICRC Suhas Kumar, Thomas Van Vaerenbergh, John Paul Strachan
2020	J	`jnl`	PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM. IEEE Trans. Computers 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
2019	J	`jnl`	Analog content addressable memories with memristors. CoRR Can Li, Catherine E. Graves, Darrin Miller, John Paul Strachan
2019	—	`conf`	FPGA Demonstrator of a Programmable Ultra-Efficient Memristor-Based Machine Learning Inference Accelerator. ICRC 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
2019	—	`conf`	Future Computing Systems (FCS) to Support "Understanding" Capability. ICRC Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker, Catherine Graves, Kimberly Keeton, Suhas Kumar, Can Li, Dejan S. Milojicic, Sergey Serebryakov, John Paul Strachan
2019	J	`jnl`	Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization. CoRR 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
2019	J	`jnl`	In situ training of feed-forward and recurrent convolutional memristor networks. Nat. Mach. Intell. 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
2019	J	`jnl`	Long short-term memory networks in memristor crossbar arrays. Nat. Mach. Intell. 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
2019	J	`jnl`	PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM. CoRR Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-mei W. Hwu, Kaushik Roy
2019	A*	`conf`	PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. ASPLOS 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
2019	J	`jnl`	PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. CoRR Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-Mei Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic
2019	—	`ch.`	The Art and Science of Constructing a Memristor Model: Updated. Handbook of Memristor Networks Suhas Kumar, Gary Gibson, Catherine E. Graves, Matthew D. Pickett, John Paul Strachan, R. Stanley Williams
2019	J	`jnl`	Thermodynamic Computing. CoRR 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
2018	A	`conf`	Computing In-Memory, Revisited. ICDCS Dejan S. Milojicic, Kirk Bresniker, Gary Campbell, Paolo Faraboschi, John Paul Strachan, Stan Williams
2018	—	`conf`	Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC 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
2018	C	`conf`	Large Memristor Crossbars for Analog Computing. ISCAS 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
2018	J	`jnl`	Long short-term memory networks in memristor crossbars. CoRR 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
2018	J	`jnl`	Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration. IEEE Micro Anirban Nag, Rajeev Balasubramonian, Vivek Srikumar, Ross Walker, Ali Shafiee, John Paul Strachan, Naveen Muralimanohar
2018	—	`conf`	Regular Expression Matching with Memristor TCAMs for Network Security. NANOARCH 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
2018	—	`conf`	Regular Expression Matching with Memristor TCAMs. ICRC 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
2017	—	`conf`	Generalize or Die: Operating Systems Support for Memristor-Based Accelerators. ICRC 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
2017	J	`jnl`	Looking Ahead for Resistive Memory Technology: A broad perspective on ReRAM technology for future storage and computing. IEEE Consumer Electron. Mag. Hai (Helen) Li, Yiran Chen, Chenchen Liu, John Paul Strachan, Noraica Davila
2017	A*	`conf`	Rescuing Memristor-based Neuromorphic Design with High Defects. DAC Chenchen Liu, Miao Hu, John Paul Strachan, Hai (Helen) Li
2016	—	`conf`	Accelerating Discrete Fourier Transforms with dot-product engine. ICRC Miao Hu, John Paul Strachan
2016	—	`conf`	Dot-product engine as computing memory to accelerate machine learning algorithms. ISQED Miao Hu, John Paul Strachan, Zhiyong Li, R. Stanley Williams
2016	A*	`conf`	Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication. DAC Miao Hu, John Paul Strachan, Zhiyong Li, Emmanuelle M. Grafals, Noraica Davila, Catherine Graves, Sity Lam, Ning Ge, Jianhua Joshua Yang, R. Stanley Williams
2016	A	`conf`	Fading memory effects in a memristor for Cellular Nanoscale Network applications. DATE Alon Ascoli, Ronald Tetzlaff, Leon O. Chua, John Paul Strachan, R. Stanley Williams
2016	J	`jnl`	History Erase Effect in a Non-Volatile Memristor. IEEE Trans. Circuits Syst. I Regul. Pap. Alon Ascoli, Ronald Tetzlaff, Leon O. Chua, John Paul Strachan, Richard Stanley Williams
2016	A*	`conf`	ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars. ISCA Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, Vivek Srikumar
2013	C	`conf`	Physics-based memristor models. ISCAS R. Stanley Williams, Matthew D. Pickett, John Paul Strachan
2012	C	`conf`	Designing memristors: Physics, materials science and engineering. ISCAS Gilberto Medeiros-Ribeiro, J. Joshua Yang, Janice H. Nickel, Antonio Torrezan, John Paul Strachan, R. Stanley Williams
2011	C	`conf`	CMOS interface circuits for reading and writing memristor crossbar array. ISCAS Muhammad Shakeel Qureshi, Matthew D. Pickett, Feng Miao, John Paul Strachan
2010	C	`conf`	Hybrid CMOS/memristor circuits. ISCAS 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