John Paul Strachan

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 52

Top Topics

Machine Learning

Incremental Updates

Design Solutions

Top Venues

Publications

Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan
Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines. ISCAS (2024)
Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming. AICAS (2024)
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
Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR (2024)
Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, John Paul Strachan, Dmitri B. Strukov
Computing High-Degree Polynomial Gradients in Memory. CoRR (2024)
Alon Ascoli, Fernando Corinto, Marco Gilli, Ahmet Samil Demirkol, Nicolas Schmitt, Ioannis Messaris, Ronald Tetzlaff, John Paul Strachan, Leon O. Chua
An Analytical Method to Induce a Multistable Periodic Response to Pulse Trains in a ReRAM Cell. MOCAST (2024)
Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci
The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming. CoRR (2024)
Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. CoRR (2024)
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
Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer 56 (3) (2023)
Alon Ascoli, Nicolas Schmitt, Ioannis Messaris, Ahmet Samil Demirkol, Ronald Tetzlaff, John Paul Strachan, Leon O. Chua
Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell from Hewlett Packard Labs. MetroXRAINE (2023)
Paul-Philipp Manea, Chirag Sudarshan, Felix Cüppers, John Paul Strachan
Non-idealities and Design Solutions for Analog Memristor-Based Content-Addressable Memories. NANOARCH (2023)
Jiaao Yu, Paul-Philipp Manea, Sara Ameli, Mohammad Hizzani, Amro Eldebiky, John Paul Strachan
Analog Feedback-Controlled Memristor programming Circuit for analog Content Addressable Memory. CoRR (2023)
Ming-Jay Yang, John Paul Strachan
State-Space Modeling and Tuning of Memristors for Neuromorphic Computing Applications. ICONS (2023)
Bassem Tossoun, Di Liang, Stanley Cheung, Zhuoran Fang, Xia Sheng, John Paul Strachan, Raymond G. Beausoleil
High-Speed and Energy-Efficient Non-Volatile Silicon Photonic Memory Based on Heterogeneously Integrated Memresonator. CoRR (2023)
Jiaao Yu, Paul-Philipp Manea, Sara Ameli, Mohammad Hizzani, Amro Eldebiky, John Paul Strachan
Analog Feedback-Controlled Memristor Programming Circuit for Analog Content Addressable Memory. MetroXRAINE (2023)
Mohammad Hizzani, Arne Heittmann, George Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan
Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines. CoRR (2023)
Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. IEEECONF (2022)
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
Experimentally realized memristive memory augmented neural network. CoRR (2022)
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
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2 (2) (2022)
Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves
A general tree-based machine learning accelerator with memristive analog CAM. ISCAS (2022)
Mingrui Jiang, Ruibin Mao, John Paul Strachan, Can Li
Defect tolerant in-memory analog computing with CMOS-integrated nanoscale crossbars: Invited. ICECS (2021)
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
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR (2021)
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
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC (2021)
Shih-Chii Liu, John Paul Strachan, Arindam Basu
Prospects for Analog Circuits in Deep Networks. CoRR (2021)
Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan
Tree-based machine learning performed in-memory with memristive analog CAM. CoRR (2021)
Suhas Kumar, Thomas Van Vaerenbergh, John Paul Strachan
Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization. ICRC (2020)
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
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM. IEEE Trans. Computers 69 (8) (2020)
Can Li, Catherine E. Graves, Darrin Miller, John Paul Strachan
Analog content addressable memories with memristors. CoRR (2019)
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
FPGA Demonstrator of a Programmable Ultra-Efficient Memristor-Based Machine Learning Inference Accelerator. ICRC (2019)
Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker, Catherine Graves, Kimberly Keeton, Suhas Kumar, Can Li, Dejan S. Milojicic, Sergey Serebryakov, John Paul Strachan
Future Computing Systems (FCS) to Support "Understanding" Capability. ICRC (2019)
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
Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization. CoRR (2019)
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
In situ training of feed-forward and recurrent convolutional memristor networks. Nat. Mach. Intell. 1 (9) (2019)
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
Long short-term memory networks in memristor crossbar arrays. Nat. Mach. Intell. 1 (1) (2019)
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
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM. CoRR (2019)
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
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. ASPLOS (2019)
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
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. CoRR (2019)
Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander 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 Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David Wolpert, J. Joshua Yang, Yan Yufik
Thermodynamic Computing. CoRR (2019)
Dejan S. Milojicic, Kirk Bresniker, Gary Campbell, Paolo Faraboschi, John Paul Strachan, Stan Williams
Computing In-Memory, Revisited. ICDCS (2018)
Anirban Nag, Rajeev Balasubramonian, Vivek Srikumar, Ross Walker, Ali Shafiee, John Paul Strachan, Naveen Muralimanohar
Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration. IEEE Micro 38 (5) (2018)
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
Long short-term memory networks in memristor crossbars. CoRR (2018)
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
Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC (2018)
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
Regular Expression Matching with Memristor TCAMs for Network Security. NANOARCH (2018)
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
Regular Expression Matching with Memristor TCAMs. ICRC (2018)
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
Large Memristor Crossbars for Analog Computing. ISCAS (2018)
Chenchen Liu, Miao Hu, John Paul Strachan, Hai (Helen) Li
Rescuing Memristor-based Neuromorphic Design with High Defects. DAC (2017)
Hai (Helen) Li, Yiran Chen, Chenchen Liu, John Paul Strachan, Noraica Davila
Looking Ahead for Resistive Memory Technology: A broad perspective on ReRAM technology for future storage and computing. IEEE Consumer Electron. Mag. 6 (1) (2017)
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
Generalize or Die: Operating Systems Support for Memristor-Based Accelerators. ICRC (2017)
Miao Hu, John Paul Strachan, Zhiyong Li, Emmanuelle M. Grafals, Noraica Davila, Catherine Graves, Sity Lam, Ning Ge, Jianhua Joshua Yang, R. Stanley Williams
Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication. DAC (2016)
Alon Ascoli, Ronald Tetzlaff, Leon O. Chua, John Paul Strachan, R. Stanley Williams
Fading memory effects in a memristor for Cellular Nanoscale Network applications. DATE (2016)
Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, Vivek Srikumar
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars. ISCA (2016)
Miao Hu, John Paul Strachan
Accelerating Discrete Fourier Transforms with dot-product engine. ICRC (2016)
Alon Ascoli, Ronald Tetzlaff, Leon O. Chua, John Paul Strachan, Richard Stanley Williams
History Erase Effect in a Non-Volatile Memristor. IEEE Trans. Circuits Syst. I Regul. Pap. (3) (2016)
Miao Hu, John Paul Strachan, Zhiyong Li, R. Stanley Williams
Dot-product engine as computing memory to accelerate machine learning algorithms. ISQED (2016)
R. Stanley Williams, Matthew D. Pickett, John Paul Strachan
Physics-based memristor models. ISCAS (2013)
Gilberto Medeiros-Ribeiro, J. Joshua Yang, Janice H. Nickel, Antonio Torrezan, John Paul Strachan, R. Stanley Williams
Designing memristors: Physics, materials science and engineering. ISCAS (2012)
Muhammad Shakeel Qureshi, Matthew D. Pickett, Feng Miao, John Paul Strachan
CMOS interface circuits for reading and writing memristor crossbar array. ISCAS (2011)
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
Hybrid CMOS/memristor circuits. ISCAS (2010)