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2020 – today
- 2024
[c31]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: 398-402- [c30]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: 1-5 - [c29]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: 1-5 - [i20]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 abs/2401.16204 (2024) - [i19]Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci:
The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming. CoRR abs/2403.06712 (2024) - [i18]Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci:
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. CoRR abs/2403.06746 (2024) - [i17]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 abs/2407.02353 (2024) - [i16]Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci:
Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models. CoRR abs/2409.19315 (2024) - [i15]Paul-Philipp Manea, Nathan Leroux, Emre Neftci, John Paul Strachan:
Gain Cell-Based Analog Content Addressable Memory for Dynamic Associative tasks in AI. CoRR abs/2410.09755 (2024) - [i14]Sebastian Siegel, Ming-Jay Yang, John Paul Strachan:
IMSSA: Deploying modern state-space models on memristive in-memory compute hardware. CoRR abs/2412.20215 (2024) - 2023
- [j8]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): 47-58 (2023) - [c28]Ming-Jay Yang, John Paul Strachan:
State-Space Modeling and Tuning of Memristors for Neuromorphic Computing Applications. ICONS 2023: 29:1-29:8 - [c27]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: 971-976 - [c26]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: 983-988 - [c25]Paul-Philipp Manea, Chirag Sudarshan, Felix Cüppers, John Paul Strachan:
Non-idealities and Design Solutions for Analog Memristor-Based Content-Addressable Memories. NANOARCH 2023: 17:1-17:6 - [e1]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:
Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, NANOARCH 2023, Dresden, Germany, December 18-20, 2023. ACM 2023 [contents] - [i13]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 abs/2303.05644 (2023) - [i12]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 abs/2304.11030 (2023) - [i11]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. CoRR abs/2311.01171 (2023) - 2022
- [j7]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): 22501 (2022) - [c24]Zhenming Yu, Stephan Menzel, John Paul Strachan, Emre Neftci:
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks. IEEECONF 2022: 1142-1146 - [c23]Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves:
A general tree-based machine learning accelerator with memristive analog CAM. ISCAS 2022: 220-224 - [i10]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 abs/2204.07429 (2022) - 2021
- [c22]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: 372-377 - [c21]Mingrui Jiang, Ruibin Mao, John Paul Strachan, Can Li:
Defect tolerant in-memory analog computing with CMOS-integrated nanoscale crossbars: Invited. ICECS 2021: 1-4 - [i9]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 abs/2103.08986 (2021) - [i8]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 abs/2105.05956 (2021) - [i7]Shih-Chii Liu, John Paul Strachan, Arindam Basu:
Prospects for Analog Circuits in Deep Networks. CoRR abs/2106.12444 (2021) - 2020
- [j6]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): 1128-1142 (2020) - [c20]Suhas Kumar, Thomas Van Vaerenbergh, John Paul Strachan:
Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization. ICRC 2020: 76-79
2010 – 2019
- 2019
- [j5]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): 49-57 (2019) - [j4]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): 434-442 (2019) - [c19]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: 715-731 - [c18]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: 44-53 - [c17]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: 88-97 - [p1]Suhas Kumar, Gary Gibson, Catherine E. Graves, Matthew D. Pickett, John Paul Strachan, R. Stanley Williams:
The Art and Science of Constructing a Memristor Model: Updated. Handbook of Memristor Networks 2019: 267-285 - [i6]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 abs/1901.10351 (2019) - [i5]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 abs/1903.11194 (2019) - [i4]Can Li, Catherine E. Graves, Darrin Miller, John Paul Strachan:
Analog content addressable memories with memristors. CoRR abs/1907.08177 (2019) - [i3]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:
Thermodynamic Computing. CoRR abs/1911.01968 (2019) - [i2]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 abs/1912.11516 (2019) - 2018
- [j3]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): 41-49 (2018) - [c16]Dejan S. Milojicic, Kirk Bresniker, Gary Campbell, Paolo Faraboschi, John Paul Strachan, Stan Williams:
Computing In-Memory, Revisited. ICDCS 2018: 1300-1309 - [c15]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: 1-13 - [c14]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: 1-11 - [c13]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: 1-4 - [c12]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: 65-71 - [i1]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 abs/1805.11801 (2018) - 2017
- [j2]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): 94-103 (2017) - [c11]Chenchen Liu, Miao Hu, John Paul Strachan, Hai (Helen) Li:
Rescuing Memristor-based Neuromorphic Design with High Defects. DAC 2017: 87:1-87:6 - [c10]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: 1-8 - 2016
- [j1]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. 63-I(3): 389-400 (2016) - [c9]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: 19:1-19:6 - [c8]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: 421-425 - [c7]Miao Hu, John Paul Strachan:
Accelerating Discrete Fourier Transforms with dot-product engine. ICRC 2016: 1-5 - [c6]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: 14-26 - [c5]Miao Hu, John Paul Strachan, Zhiyong Li, R. Stanley Williams:
Dot-product engine as computing memory to accelerate machine learning algorithms. ISQED 2016: 374-379 - 2013
- [c4]R. Stanley Williams, Matthew D. Pickett, John Paul Strachan:
Physics-based memristor models. ISCAS 2013: 217-220 - 2012
- [c3]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: 2513-2516 - 2011
- [c2]Muhammad Shakeel Qureshi, Matthew D. Pickett, Feng Miao, John Paul Strachan:
CMOS interface circuits for reading and writing memristor crossbar array. ISCAS 2011: 2954-2957 - 2010
- [c1]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: 1967-1970
Coauthor Index
Catherine Graves
aka: Catherine E. Graves
aka: Catherine E. Graves
R. Stanley Williams
aka: Richard Stanley Williams
aka: Richard Stanley Williams
J. Joshua Yang
aka: Jianhua Joshua Yang
aka: Jianhua Joshua Yang
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