F.-X. Liang, S. Kumar, K. Ni, W. Chakraborty, Y. Chauhan, H. Amrouch, S. Datta, M. T. Niemier, X. Hu, A physics-based model for oxide-semiconductor-based ferroelectric field-effect transistors, IEEE Transactions on Electronic Devices (IEEE TED), , 2024
Liu Liu, Ann Franchesca Laguna, Michael Niemier, and X. Sharon Hu, "Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory", The IEEE International Symposium on Circuits and Systems (ISCAS), , 2024
X. Yin, F. Müller, A. F. Laguna4, C. Li, Q. Huang, Z. Shi, M. Lederer, N. Laleni, S. Deng, Z. Zhao, M. Imani, Y. Shi, M. Niemier, X. Hu, C. Zhuo, T. Kämpfe, K. Ni, Deep random forest with ferroelectric analog content addressable memory, Science Advances, , 2024
C. Ni, S. Chen, L. Liu, M. Imani, T. Kämpfe, K. Ni, M. Niemier, X. Hu, C. Zhuo, and X. Yin, TAP-CAM: A tunable approximate matching engine based on ferroelectric content addressable memory, International Conference on Computer Aided Design (ICCAD) (ACM/IEEE), , 2024
Liu Liu, Ann Franchesca Laguna, Michael Niemier, X. Sharon Hu, Design of High-Performance and Compact CAM for Supporting Data-Intensive Applications, The IEEE International Symposium on Circuits and Systems (ISCAS), , 2024
L. Pei, Y. Qin, Z.M. Enciso, B. Cheng, J. Liu, S. Davis, Z. Jia, M. Niemier, Y. Shi, X. Hu, N. Cao, Towards uncertainty-quantifiable biomedical intelligence: mixed-signal compute-in-entropy for Bayesian neural networks, International Conference on Computer Aided Design (ICCAD) (ACM/IEEE), , 2024
Chenyu Ni, Sijie Chen, Che-Kai Liu, Liu Liu, Mohsen Imani, Thomas Kämpfe, Kai Ni, Michael Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Xunzhao Yin, AP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory, International Conference on Computer Aided Design (ICCAD), , 2024
J. Takeshita, D. Reis, T. Gong, M. T. Niemier, X. Hu, and T. Jung, Accelerating Finite-Field and Torus FHE via Compute-Enabled (S)RAM, IEEE Transactions on Computers, , 2024
M. Li, D. Reis, A. F. Laguna, M. Niemier, X. Hu, Accelerating recommendation systems with in-memory embedding operations, IEEE Transactions on Circuits and Systems for Artificial Intelligence (IEEE TCAS-AI), , 2024
2023
S. Narla, P. Kumar, A. F. Laguna, D. Reis, X. Hu, M. Niemier, A. Naeemi, Design of a compact spin-orbit-torque based ternary content addressable memory, IEEE Transactions on Electronic Devices (IEEE TED), , 2023
Arman Kazemi, Franz Müller, Mohammad Mehdi Sharifi, Hamza Errahmouni, Gerald Gerlach, Thomas Kämpfe, Mohsen Imani, Xiaobo Sharon Hu, Michael Niemier, Achieving software-equivalent accuracy for hyperdimensional computing with ferroelectric-based in-memory computing, SRC TECHCON, , 2023
L. Liu, A.F. Laguna, R. Rajaei, M.M. Sharifi, A. Kazemi, X. Yin, M. Niemier, X. Hu, A reconfigurable FeFET content addressable memory For multi-state Hamming distance, IEEE Transactions on Circuits and Systems I (IEEE TCAS I), , 2023
Ann Franchesca Laguna, Mohammed Mehdi Sharifi, Dayane Reis, Liu Liu, Andrew Hennessee, Clayton O'Dell, Ian O'Connor, Michael Niemier, X. Sharon Hu, Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge, International Conference on Computer Aided Design (ICCAD), , 2023
M Li, H. Geng, M. Niemier, X. Hu, Accelerating polynomial modular multiplication with crossbar-based compute-in-memory, International Conference on Computer Aided Design (ICCAD) (ACM/IEEE), , 2023
Dayane Reis, Ann Franchesca Laguna, Michael Niemier, and Xiaobo Sharon Hu, In-Memory Computing Accelerators for Emerging Learning Paradigms, Asia and South Pacific Design Automation Conference, , 2023
Haoran Geng, Jianqiao Mo, Dayane Reis, Jonathan Takeshita, Taeho Jung, Brandon Reagen, Michael Niemier, Xiaobo Sharon Hu, PPIMCE: An In-memory Computing Fabric for Privacy Preserving Computing, SRC TECHCON, , 2023
Siri Narla, Piyush Kumar, Ann Franchesca Laguna, Dayane Reis, X. Sharon Hu, Michael Niemier, and Azad Naeemi, Design of a compact Spin-Orbit-Torque based Ternary Content Addressable Memory (TCAM), IEEE Transactions on Electron Devices, , 2023
M. Niemier, X.S. Hu, L. Liu, M. Sharifi, Ian O'Connor, David Atienza, Giovanni Ansaloni, Can Li, Asif Khan, Daniel C. Ralph, Cross Layer Design for the Predictive Assessment of Technology-Enabled Architectures, Design Automation and Test in Europe (DATE), , 2023
2022
A. Kazemi, M. M. Sharifi, A. F. Laguna, F. Müller, X. Yin, T. Kämpfe, M. Niemier, and X. Hu, FeFET multi-bit content-addressable memories for in-memory nearest neighbor search, IEEE Transactions on Computers (IEEE TC), , 2022
Q. Huang, D. Reis, C. Li, D. Gao, M. T. Niemier, X. Hu, M. Imani, X. Yin, C. Zhuo, Computing-in-memory using ferroelectrics: from single- to multi-input logic, IEEE Design & Test of Computers, , 2022
C.-K. Liu, H. Chen, M. Imani, K. Ni, A. Kazemi, A. F. Laguna, M. Niemier, X. Hu, L. Zhao, C. Zhuo, X. Yin, COSIME: FeFET based associative memory for in-memory cosine similarity search, International Conference on Computer Aided Design (ICCAD) (ACM/IEEE), , 2022
D. Reis, M. Niemier, X. Hu, IMCRYPTO: An in-memory computing fabric for AES encryption and decryption, IEEE Transactions on VLSI Systems (IEEE TVLSI), , 2022
A. F. Laguna, M.M. Sharifi, A. Kazemi, X. Yin, M. Niemier, X. Hu, Hardware-software co-design of an in-memory transformer network accelerator, Frontiers in Electronics, Section Integrated Circuits and VLSI, , 2022
Dayane Reis, Ann Franchesca Laguna, Mengyuan Li, Michael Niemier, X. Sharon Hu, Ferroelectric FET Configurable Memory Arrays and Their Applications, IEEE International Electron Devices Meeting (IEDM), , 2022
S. Narla, P. Kumar, D. Reis, A. F. Laguna, M. Niemier, X. Hu, and A. Naeemi, Modeling and design for magnetoelectric ternary content addressable memory (TCAM), IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (IEEE JxCDC), , 2022
R. Mao, B. Wen, A. Kazemi, Y. Zhao, A. F. Laguna, R. Lin, N. Wong, M. Niemier, X. Hu, X. Sheng, C. E. Graves, J. P. Strachan, C. Li, Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search, Nature Communications, , 2022
L. Liu, M. M. Sharifi, R. Rajaei, A. Kazemi, K. Ni, X. Yin, M. Niemier, X. Hu, Eva-CAM: A circuit/architecture-level evaluation tool for general content addressable memories, Design, Automation & Test in Europe Conference & Exhibition (DATE) (ACM/IEEE), , 2022
Liu Liu, Ann Franchesca Laguna, Ramin Rajaei, Mohammad Mehdi Sharifi, Arman Kazemi, Xunzhao Yin, Michael Niemier, X. Sharon Hu, A FeFET-Based Reconfigurable Content Addressable Memory Supporting Multi-State Hamming Distance, IEEE Transactions on Circuits and Systems I (TCASI), , 2022
Arman Kazemi, Franz Müller, Mohammad Mehdi Sharifi, Hamza Errahmouni, Thomas Kämpfe, Mohsen Imani, Gerald Gerlach, X. Sharon Hu, Michael Niemier, Software-equivalent accuracy in-memory hyperdimensional computing with ferroelectric devices, Scientific Reports, , 2022
Ruibin Mao, Yahui Zhao, Arman Kazemi, Ann Franchesca Laguna, Michael Niemier, X. Sharon Hu, Xia Sheng, Catherine E. Graves, John Paul Strachan, Can Li, Experimentally realized memristive memory augmented neural network, Nature Communications, , 2022
Siri Narla, Piyush Kumar, Ann Franchesca Laguna, Dayane Reis, X. Sharon Hu, Michael Niemier, Azad Naeemi, Modeling and Design for Spin-Orbit-Torque based Ternary Content Addressable Memory (TCAM), IEEE Journal of Exploratory Solid-State Computational Devices and Circuits, , 2022
Ann Franchesca Laguna, Arman Kazemi, Michael Niemier, X. Sharon Hu, Reconfigurable Energy Efficient Transformer Network Accelerator, Frontiers in Nanoelectronics, , 2022
M. Li, A.F. Laguna, D. Reis, X. Yin, M. Niemier, X. Hu, iMARS: An in-memory-computing architecture for recommendation systems, Design Automation Conference (DAC) (ACM/IEEE), , 2022
2021
A. Kazemi, M. M. Sharifi, Z. Zou, M. Niemier, X. Hu, M. Imani, MIMHD: Accurate and efficient hyperdimensional inference using multi-bit In-memory computing, International Symposium on Low Power Electronics and Design (ISLPED) (IEEE/ACM), , 2021
Hussam Amrouch, Xiaobo Sharon Hu, Mohsen Imani, Ann Franchesca Laguna, Michael Niemier, Simon Thomann, Xunzhao Yin, Cheng Zhuo, Cross-Layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications, ASP-DAC, , 2021
S. Dutta, A. Khanna, H. Ye, M.M. Sharifi, A. Kazemi, M. San Jose, K.A. Aabrar, J.G. Mir, M. Niemier, X. Hu, S. Datta, Lifelong learning with monolithic 3D ferroelectric ternary content-addressable memory, IEEE International Electron Devices Meeting (IEDM), , 2021
A. Kazemi, M.M. Sharifi, A.F. Laguna, F. Mueller, R. Rajaei, R. Olivo, T. Kaempfe, M. Niemier, X. Hu, In-memory nearest neighbor search with FeFET multi-bit content-addressable memories, Design Automation and Test in Europe (DATE) (ACM/IEEE), , 2021
A.F. Laguna, A. Kazemi, M. Niemier, X. Hu, In-memory computing based accelerator for transformer networks for long sequences, Design Automation and Test in Europe (DATE) (ACM/IEEE), , 2021
D. Reis, A.F. Laguna, M. Niemier, X. Hu, Attention-in-memory for few-shot learning with configurable ferroelectric FET arrays, Asia and South Pacific Design Automation Conference (ASPDAC) (ACM/IEEE), , 2021
A. Kazemi, S. Sahay, A. Saxena, M. M. Sharifi, M. Niemier, X. Hu, A flash-based multi-bit content-addressable memory with Euclidean squared distance, International Symposium on Low Power Electronics and Design (ISLPED) (IEEE/ACM), , 2021
Dayane Reis, Ann Franchesca Laguna, Michael Niemier, and Xiaobo Sharon Hu, Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications, Design Automation and Test in Europe (invited), , 2021
R. Rajaei, M. Niemier, X. Hu, Low-cost sequential logic circuit design considering single event double-node upsets and single event transients, IEEE International Conference on Computer Design (ICCD), , 2021
Xiaobo Sharon Hu, Michael T. Niemier, Arman Kazemi, Ann Franchesca B. Laguna, Kai Ni, Ramin Rajaei, Mohammad Mehdi Sharifi, Xunzhao Yin, In-Memory Computing with Associative Memories: A Cross-Layer Perspective, IEEE International Electron Devices Meeting (IEDM), , 2021
Mohammad Mehdi Sharifi, Ramin Rajaei, Lillian Pentecost, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David Brooks, Kai Ni, X. Sharon Hu, Michael Niemier, Marco Donato, Application-driven Design Optimization for Dense Ferroelectric Non-volatile Embedded Memories, International Symposium on Low Power Electronics and Design (ISLPED), , 2021
Arman Kazemi, Mohammad Mehdi Sharifi, Zouwen Zou, Zhuowen Zou, Michael Niemier, X. Sharon Hu, Mohsen Imani, MIMHD: Multi-Bit In-Memory Hyperdimensional Computing Inference with FeFETs, International Symposium on Low Power Electronics and Design (ISLPED), Article 9, p. 1-6, , 2021
Arman Kazemi, Shubham Sahay, Ayush Saxena, Mohammad Mehdi Sharifi, Michael Niemier, X. Sharon Hu, A Flash-Based Multi-Bit Content-Addressable Memory with Squared Euclidean Distance, International Symposium on Low Power Electronics and Design (ISLPED), , 2021
Hussam Amrouch, Di Gao, Xiaobo Sharon Hu, Arman Kazemi, Ann Franchesca Laguna, Kai Ni, Michael Niemier, Mohammad Mehdi Sharifi, Simon Thomann, Xunzhao Yin, Cheng Zhuo, Ferroelectric FET Technology and Applications: From Devices to Systems, International Conference on Computer Aided Design (ICCAD), , 2021
M. M. Sharifi, L. Pentecost, R. Rajaei, A. Kazemi, Q. Lou, G-Y. Wei, D. Brooks, K. Ni, X. Hu, M. Niemier, M. Donato, Application-driven design exploration for dense ferroelectric embedded non-volatile memories, International Symposium on Low Power Electronics and Design (ISLPED) (IEEE/ACM), , 2021
R. Rajaei, M. M. Sharifi, A. Kazemi, M. Niemier, X. Hu, Compact single-phase-search multi-state content addressable memory design using 1 FeFET/cell, IEEE Transactions on Electron Devices, , 2021
D. Reis, M. T. Niemier, X. Hu, The implications of ferroelectric FET device models to the design of computing-in-memory architectures, Journal of Integrated Circuits and Systems, , 2021
Dayane Reis, Michael Niemier, X. Sharon Hu, Attention-in-Memory for Few Shot Learning with Configurable Ferroelectric FET Arrays, ASP-DAC, , 2021
2020
Arman Kazemi, Cristobal Alessandri, Alan C. Seabaugh, X. Sharon Hu, Michael Niemier, Siddharth Joshi, A Device Non-ideality Resilient Approach for Mapping Neural Networks to Resistive Crossbar Arrays, Design, Automation Conference, , 2020
A. Kazemi, R. Rajaei, K. Ni, S. Datta, M. Niemier, X. Hu, A hybrid FeMFET-CMOS analog synapse circuit for neural network training and inference, International Symposium on Circuits and Systems (ISCAS) (IEEE), , 2020
D. Reis, J. Takeshita, T. Jung, M. Niemier, X. Hu, Computing-in-Memory for performance and energy efficient homomorphic encryption, IEEE Transactions on VLSI Systems (IEEE TVLSI), , 2020
X. Chen, S. Datta, X. Hu, M. Jerry, A. Laguna, K. Ni, M. Niemier, D. Reis, X. Sun, P. Wang, X. Yin, S. Yu, The impact of ferroelectric FETs on digital and analog circuits and architectures, IEEE Design & Test, , 2020
X. Yin, C. Li, Q. Huang, L. Zhang, M. Niemier, X. Hu, C. Zhuo, K. Ni, FeCAM: A universal compact digital and analog content addressable memory using ferroelectric, IEEE Transactions on Electron Devices (IEEE TED), , 2020
Dayane Reis, Jonathan Takeshita, Taeho Jung, Michael Niemier, X. Sharon Hu, Accelerating Fully Homomorphic Encryption with Computing-in-Memory, IEEE Transactions on VLSI, , 2020
Mohsen Imani, Xunzhao Yin, John Messerly, Saransh Gupta, Michael Niemier, X. Sharon Hu, and Tajana Rosing, SearcHD: A Memory-Centric Hyperdimensional Computing with Stochastic Training, IEEE Transactions on CAD, , 2020
D. Reis, A.F. Laguna, M. Niemier, X. Hu, A fast and energy efficient Computing-in-Memory architecture for few-shot learning applications, Design Automation and Test in Europe (DATE) (ACM/IEEE), , 2020
David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, X. Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael Niemier, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin, Emerging Neural Workloads and Their Impact on Hardware, Design, Automation, and Test in Europe (DATE), , 2020
D Reis, D Gao, S Angizi, X Yin, D Fan, M Niemier, C Zhuo, XS Hu, Modeling and benchmarking computing-in-memory for design space exploration, Proceedings of the Great Lakes Symposium on VLSI, , 2020
D Ma, X Yin, M Niemier, XS Hu, X Jiao, AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks, Proceedings of the Great Lakes Symposium on VLSI, , 2020
M.M. Sharifi, R. Rajaei, P. Cadareanu, P.-E. Gaillardon, Y. Jin, M. Niemier, X. Hu, A novel TIGFET-based DFF design for improved resilience to power side-channel attacks, Design Automation and Test in Europe (DATE) (ACM/IEEE), , 2020
Jonathan Takeshita, Dayane Reis, Ting Gong, Michael Niemier, X. Sharon Hu, Taeho Jung, Algorithmic Acceleration of B/FV-like Somewhat Homomorphic Encryption for Compute-RAM, International Conference on Selected Areas in Cryptography. Springer, Cham, , 2020
A. Kazemi, C. Alessandri, A. C. Seabaugh, X. Hu, M. Niemier, S. Joshi, A device non-ideality resilient approach for mapping neural networks to crossbar arrays, ACM/IEEE Design Automation Conference (DAC), , 2020
Q. Lou, T. Gao, P. Faley, M. Niemier, X. Hu, S. Joshi, Embedding error correction into crossbars for reliable matrix vector multiplication using emerging devices, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), , 2020
R. Rajaei, Y.K. Lin, S. Salahuddin, M. Niemier, X. Hu, GC-eDRAM design using hybrid FinFET/NC-FinFET, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), , 2020
R. Rajaei, Y.-K. Lin, S. Salahuddin, M. Niemier, X. Hu, Dynamic memory and sequential logic design using negative capacitance FinFETs, International Symposium on Circuits and Systems (ISCAS) (IEEE), , 2020
J. S. Takeshita, D. Reis, T. Gong, M. Niemier, X. Hu, T. Jung, Algorithmic acceleration of B/FV-like somewhat homomorphic encryption for compute-enabled RAM, Selected Areas in Cryptography, , 2020
A.F. Laguna, H. Gamaarachchi, X. Yin, M. Niemier, S. Parameswaran, X. Hu, Seed-and-vote based in-memory accelerator for DNA read mapping, International Conference on Computer Aided Design (ICCAD) (ACM/IEEE), , 2020
2019
Indranil Palit, Qiuwen Lou, Robert Perricone, Michael Niemier, X. Sharon Hu, A Uniform Modeling Methodology for Benchmarking DNN Accelerators, International Conference on Computer Aided Design (ICCAD), , 2019
Xunzhao Yin, Dayane Reis, Xiaobo Sharon Hu, Michael Niemier, Ferroelectric FET based TCAM Designs for Energy Efficient Computing, IEEE Computer Society's Symposium on VLSI (ISVLSI), p. 437-442, , 2019
Kai Ni, Xunzhao Yin, Ann Franchesa Laguna, Siddharth Joshi, Stefan Dunkel, Martin Trentzsch, Johannes Mueller, Sven Beyer, William Taylor, Michael T. Niemier, Xiaobo Sharon Hu, and Suman Datta, Ferroelectric Ternary Content Addressable Memory for One-Shot Learning, Nature Electronics, , 2019
Ann Franchesca Laguna, Xunzhao Yin, Dayane Reis, Michael Niemier, X. Sharon Hu, Ferroelectric FET-based In-Memory Computing for Few-Shot Learning, Great Lakes Symposium on VLSI (GLSVLSI), p. 373-378, , 2019
Matthew Jerry, Sourav Dutta, Kai Ni, Jianchi Zhang, Pankaj Sharma, Suman Datta, Arman Kazemi, X. Sharon Hu, Michael Niemier, Pai-Yu Chen, Shimeng Yu, Ferroelectric FET-based Non-Volatile Analog Synaptic Weight Cell, GoMacTech, , 2019
Ann Franchesca Laguna, Michael Niemier, X. Sharon Hu, Design of Hardware Friendly Memory Enhanced Neural Networks, Design Automation and Test in Europe (DATE), , 2019
Robert Perricone, Zhaoxin Liang, Meghna Mankalale, Michael Niemier, Sachin S. Sapatnekar, Jian-Ping Wang, Sharon Hu, An Energy Efficient Non-Volatile Flip-Flop based on CoMET Technology, Design Automation and Test in Europe (DATE), , 2019
Xunzhao Yin, Kai Ni, Dayane Reis, Suman Datta, Michael Niemier, Xiaobo Sharon Hu, An Ultra-dense 2FeFET TCAM Design based on a Multi-Domain FeFET Model, IEEE Transactions on Circuits and Systems II, , 2019
Qiuwen Lou, Chenyun Pan, John McGuinness, Andras Horvath, Azad Naeemi, Michael Niemier, X. Sharon Hu, A Mixed Signal Architecture for Convolutional Neural Networks, ACM Journal on Emerging Technologies in Computing Systems, , 2019
Dayane Reis, Kai Ni, Wriddhi Chakraborty, Xunzhao Yin, Martin Trentzsch, Stefan Dunkel, Thomas Melde, John Mueller, Sven Beyer, Suman Datta, Michael Niemier, X. Sharon Hu, Design and analysis of an ultra-dense, low-leakage and fast FeFET-based random access memory array, IEEE JxCDC, , 2019
An Chen, Supriyo Datta, X. Sharon Hu, Michael Niemier, Tajana Simunic Rosing, J. Joshua Yang, A Survey of Architecture Advances Enabled by Emerging Beyond-CMOS Technologies, IEEE Design and Test, , 2019
Xunzhao Yin, Michael Niemier, X. Sharon Hu, Exploiting Ferroelectric FETs for Low-Power, Non-Volatile Logic-in-Memory Circuits, IEEE Transactions on VLSI, , 2019
Dayane Reis, Michael Niemier, X. Sharon Hu, A Computing-in-Memory Engine for Searching on Homomorphically Encrypted Data, IEEE JxCDC, , 2019
Andrew W. Stephan, Qiuwen Lou, Michael Niemier, X. Sharon Hu, and Steven J. Koester, Nonvolatile Spintronic Memory Cells for Neural Networks, IEEE JxCDC, , 2019
Jörg Henkel, Hussam Amrouch, Martin Rapp, Sami Salamin, Dayane Reis, Di Gao, Xunzhao Yin, Michael Niemier, Cheng Zhou, X. Sharon Hu, The Impact of Emerging Technologies on Architectures and System-level Management, International Conference on Computer Aided Design (ICCAD), , 2019
Chenyun Pan, Qiuwen Lou, Michael Niemier, X. Sharon Hu, Azad Naeemi, Energy-Efficient Convolutional Neural Netowrk based on Cellular Neural Network Using Beyond CMOS Technologies, IEEE JxCDC, , 2019
2018
X. Xu, Y. Ding, S.X. Hu, M. Niemier, J. Cong, Y. Hu, and Y. Shi, Scaling of Deep Neural Networks for Edge Inference: A Race Between Data Scientists and Hardware Architects, Nature Electronics, , 2018
Indranil Palit, Lin Yang, Danny Chen, Michael Niemier, Jinjun Xiong, X. Sharon Hu, Biomedical Image Segmentation using Fully Convolutional Networks on True North, IEEE International Symposium on Computer-Based Medical Systems, , 2018
Xiaoming Chen, Xunzhao Yin, Michael Niemier, and Xiaobo Sharon Hu, Design and Optimization of FeFET-based Crossbars for Binary Convolutional Neural Networks, Design, Automation, and Test in Europe (DATE), , 2018
Xiaobo Sharon Hu and Michael Niemier, Cross-Layer Efforts for Energy Efficient Computing -- Towards Peta Operations Per Second Per Watt, Frontiers of Information Technology and Electronic Engineering, , 2018
Xiaoming Chen+, Michael Niemier, Yinhe Han, and Xiaobo Sharon Hu, Power and Area Efficient FPGA Building Blocks Based on Ferroelectric FETs, IEEE Transactions on Circuits and Systems I: Regular Papers, , 2018
Xunzhao Yin, Kai Ni, Dayane Reis, Suman Datta, Michael T. Niemier, X. Sharon Hu, Design and Benchmarking of Ferroelectric FET TCAMs based on a multi-domain model, TECHCON, , 2018
Dayane Reis, Michael T. Niemier, X. Sharon Hu, FeFET-CiM: A Computing in Memory Solution to Reduce the Overheads Associated with Data Transfer, TECHCON, , 2018
Xiaoming Chen+, Michael Niemier, Xiaobo Sharon Hu, Non-volatile Lookup Table Design Based on Ferroelectric Field-Effect Transistors (FeFETs), International Symposium on Circuits and Systems (ISCAS), , 2018
Matthew Jerry, Sourav Dutta, Arman Kazemi, Kai Ni, Jianchi Zhang, Pai-Yu Chen, Pankaj Sharma, Shimeng Yu, Sharron Hu, Michael Niemier, Suman Datta, A Ferroelectric Field Effect Transistor-based Non-Volatile Analog Synpatic Memory, Journal of Physics D, , 2018
A. Aziz, E.T. Breyer, A. Chen, X. Chen, S. Datta, S.K. Gupta, M. Hoffmann, X. Hu, A. Ionescu, M. Jerry, T. Mikolajick, H.Mulaosmanovic, K. Ni, M. Niemier, I. O'Connor, A. Saha, S. Slesazeck, S.K. Thirumala and X. Yin,, Computing with Ferroelectric FETs: Devices, Models, Systems, and Applications, Design, Automation, and Test in Europe (DATE), , 2018
Dayane Reis, Xunzhao Yin, Michael Niemier, X. Sharon Hu, Computing in Memory with FeFETs, International Symposium on Low Power Electronic Design (ISLPED), , 2018
Robert Perricone, X. Sharon Hu, Joseph Nahas, and Michael Niemier, Can Beyond-CMOS Devices Illuminate Dark Silicon?, Communications of the ACM, , 2018
2017
Jian-Ping Wang, Sachin S Sapatnekar, Chris H Kim, Paul Crowell, Steve Koester, Supriyo Datta, Kaushik Roy, Anand Raghunathan, X Sharon Hu, Michael Niemier, Azad Naeemi, Chia-Ling Chien, Caroline Ross, Roland Kawakami, A Pathway to Enable Exponential Scaling for the Beyond CMOS Era, Design Automation Conference (DAC), , 2017
Jorge Fernández-Berni, Michael Niemier, X. Sharon Hu, Wenjun Li, Patrick Fay, and Ricardo Carmona Galán, TFET-based Well Capacity Adjustment in Active Pixel Sensor for Enhanced High Dynamic Range, Electronics Letters, 53(9), p. 622-624, , 2017
Yu Bi, Kaveh Shamsi, Jiann-Shiun Yuan, Yier Jin, Michael Niemier, X. Sharon Hu, Tunnel FET Current Mode Logic for DPA-Resilient Circuit Designs, IEEE Transactions on Emerging Topics in Computing, , 2017
Robert Perricone, Li Tang, M. Niemier, X.S. Hu, Exploiting Non-Volatility for Information Processing, Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI), p. 305-310, , 2017
Xunzhao Yin, Michael Niemier, X Sharon Hu, Design and benchmarking of ferroelectric FET-based TCAM, Design Automation and Test in Europe (DATE), , 2017
R. Perricone, M. Niemier, X.S. Hu, Challenges and Opportunities with Spin-based Logic, SPIE (Nanoscience & Engineering), Spintronics X, 10357, 103570M, , 2017
András Horváth, Michael Hillmer, Qiuwen Lou, X. Sharon Hu, Michael Niemier, Cellular Neural Network Friendly Convolutional Neural Networks -- CNNs with CNNs, Design Automation and Test Europe (DATE), , 2017
Robert Perricone, Ibrahim Ahmed, Zhaoxin Liang, Meghna G Mankalale, Sharon Hu, Chris H Kim, Michael Niemier, Sachin S Sapatnekar, Jian-Ping Wang, Advanced Spintronic Memory and Logic for Non-Volatile Processors, Design Automation and Test Europe (DATE), , 2017
2016
Xunzhao Yin, Behnam Sedighi, X. Sharon Hu, Michael Niemier, Design of Latches and Flip-Flops using Emerging Tunneling Devices, Design, Automation, and Test in Europe (DATE), , 2016
Yu Bi, X. Sharon Hu, Yier Jin, Micahel Niemier, Xunzhao Yin, Enhancing Hardware Security with Emerging Transistor Technologies, Great Lakes Symposium on VLSI, , 2016
Robert Perricone, Yang Liu, Aaron Dingler, X. Sharon Hu, Michael Niemier, Design of Stochastic Computing Circuits using Nanomagnetic Logic, IEEE Transactions on Nanotechnology, , 2016
Y. Bi, K. Shamsi, P.-E. Gaillardon, G. de Micheli, X. Yin, X. Hu, M. Niemier, J.-S. Yuan, and Y. Jin, Emerging technology based design primitives for hardware security, ACM Journal of Emerging Technologies in Computing Systems, , 2016
Robert Perricone, Michael Niemier, X. Sharon Hu, and Joseph Nahas, Can Beyond CMOS Devices Illuminate Dark Silicon, SRC TECHCON, , 2016
An Chen, X. Sharon Hu, Yier Jin, Michael Niemier, Xunzhao Yin, Using Emerging Technologies for Hardware Security Beyond PUFs, Design, Automation, and Test in Europe (DATE), , 2016
Xunzhao Yin, Aziz Ahmedullah, Joseph Nahas, Sumeet Gupta, Suman Datta, Michael Niemier, Sharon Hu, Exploiting Ferroelectric FETs for Low-Power Non-Volatile Logic-in-Memory Circuits, International Conference on Computer Aided Design (ICCAD), , 2016
2015
Faisal A. Shah, György Csaba, Michael T. Niemier, Xiaobo S. Hu, Wolfgang Porod, and Gary Bernstein, Error Analysis for Ultra Dense Nanomagnet Logic Circuits, Journal of Applied Physics, , 2015
Behnam Sedighi+, Indranil Palit@, Xiaobo Sharon Hu, Joseph Nahas, and Michael Niemier, A CNN-inspired mixed signal processor based on tunnel transistors, Design, Automation, and Test in Europe (DATE), , 2015
Robert Perricone, Yining Zhu, Katherine Sanders, X. Sharon Hu, Michael Niemier, Towards Systematic Design of 3D pNML Layouts, Design, Automation, and Test in Europe (DATE), , 2015
Indranil Palit, Qiuwen Lou, Nicholas Acampora, Joseph Nahas, Michael Niemier, X. Sharon Hu, Analytically Modeling Power and Performance of a CNN System, International Conference on Computer Aided Design (ICCAD), , 2015
Kaveh Shamsi, Yu Bi, Yier Jin, Pierre-Emmanuel Gaillardon, Michael Niemier, X. Sharon Hu, Reliable and High Performance STT-MRAM Architectures based on Controllable-Polarity Devices, International Conference on Computer Design (ICCD), , 2015
Qiuwen Lou, Indranil Palit, Andras Horvath, X. Sharon Hu, Michael Niemier, Joseph Nahas, TFET-based Operational Transconductance Amplifier Design for CNN Systems, Great Lakes Symposium on VLSI (GLSVLSI), , 2015