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2020 – today
- 2024
[j27]Ying Wu
, Chuangtao Chen, Weihua Xiao, Xuan Wang, Chenyi Wen, Jie Han, Xunzhao Yin, Weikang Qian, Cheng Zhuo:
A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits. ACM Trans. Design Autom. Electr. Syst. 29(1): 23:1-23:37 (2024)- [j26]Chao Li, Chen Sun, Jianyi Yang, Kai Ni, Xiao Gong, Cheng Zhuo, Xunzhao Yin:
Multibit Content Addressable Memory Design and Optimization Based on 3-D nand-Compatible IGZO Flash. IEEE Trans. Very Large Scale Integr. Syst. 32(8): 1380-1388 (2024) - [j25]Yu Qian, Liang Zhao, Fanzi Meng, Xiapeng Xu, Cheng Zhuo, Xunzhao Yin:
Enhancing ConvNets With ConvFIFO: A Crossbar PIM Architecture Based on Kernel-Stationary First-In-First-Out Dataflow. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1640-1651 (2024) - [c63]Liang Zhao, Yu Qian, Fanzi Meng, Xiapeng Xu, Xunzhao Yin, Cheng Zhuo:
ConvFIFO: A Crossbar Memory PIM Architecture for ConvNets Featuring First-In-First-Out Dataflow. ASPDAC 2024: 824-829 - [c62]Yu Qian, Kai Ni, Thomas Kämpfe, Cheng Zhuo, Xunzhao Yin:
C-Nash: A Novel Ferroelectric Computing-in-Memory Architecture for Solving Mixed Strategy Nash Equilibrium. DAC 2024: 226:1-226:6 - [c61]Yu Qian, Zeyu Yang, Kai Ni, Alptekin Vardar, Thomas Kämpfe, Xunzhao Yin:
HyCiM: A Hybrid Computing-in-Memory QUBO Solver for General Combinatorial Optimization Problems with Inequality Constraints. DAC 2024: 241:1-241:6 - [c60]Chao Li, Zhicheng Xu, Bo Wen, Ruibin Mao, Can Li, Thomas Kämpfe, Kai Ni, Xunzhao Yin:
FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing. DAC 2024: 246:1-246:6 - [c59]Zeyu Yang, Qingrong Huang, Yu Qian, Kai Ni, Thomas Kämpfe, Xunzhao Yin:
Energy Efficient Dual Designs of FeFET-Based Analog In-Memory Computing with Inherent Shift-Add Capability. DAC 2024: 290:1-290:6 - [c58]Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li:
Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks. DATE 2024: 1-6 - [c57]Qingrong Huang, Hamza Errahmouni Barkam, Zeyu Yang, Jianyi Yang, Thomas Kämpfe, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Mohsen Imani, Cheng Zhuo, Xunzhao Yin:
A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation. DATE 2024: 1-6 - [c56]Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Grace Li Zhang:
Class-Aware Pruning for Efficient Neural Networks. DATE 2024: 1-6 - [c55]Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li:
OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. DATE 2024: 1-6 - [c54]Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kämpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin:
FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search. DATE 2024: 1-6 - [c53]Haotian Xu, Jianyi Yang, Cheng Zhuo, Thomas Kämpfe, Kai Ni, Xunzhao Yin:
Reconfigurable Frequency Multipliers Based on Complementary Ferroelectric Transistors. DATE 2024: 1-6 - [c52]Yifei Zhou, Xuchu Huang, Jianyi Yang, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin:
Low Power and Temperature- Resilient Compute-In-Memory Based on Subthreshold-FeFET. DATE 2024: 1-6 - [c51]Jiayi Wang, Songyu Sun, Xunzhao Yin:
Single-Ferroelectric FET based Associative Memory for Data-Intensive Pattern Matching. ISQED 2024: 1-7 - [c50]Yangfan Jiang, Jianfei Song, Xunzhao Yin, Xiao Dong, Songyu Sun, Yibo Lin, Zhou Jin, Xiaoyu Yang, Cheng Zhuo:
A Parallel Simulation Framework Incorporating Machine Learning-Based Hotspot Detection for Accelerated Power Grid Analysis. MLCAD 2024: 9:1-9:7 - [c49]Kangwei Xu, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li:
Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models. MLCAD 2024: 15:1-15:9 - [i30]Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kämpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin:
FeReX: A Reconfigurable Design of Multi-bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search. CoRR abs/2401.05708 (2024) - [i29]Bo Liu, Grace Li Zhang, Xunzhao Yin, Ulf Schlichtmann, Bing Li:
EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration. CoRR abs/2402.18595 (2024) - [i28]Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li:
LiveMind: Low-latency Large Language Models with Simultaneous Inference. CoRR abs/2406.14319 (2024) - [i27]Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Ulf Schlichtmann, Bing Li:
BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks. CoRR abs/2407.03738 (2024) - [i26]Kangwei Xu, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li:
Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models. CoRR abs/2407.03889 (2024) - [i25]Wenhao Sun, Bing Li, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann:
Classification-Based Automatic HDL Code Generation Using LLMs. CoRR abs/2407.18326 (2024) - [i24]Yu Qian, Kai Ni, Thomas Kämpfe, Cheng Zhuo, Xunzhao Yin:
C-Nash: A Novel Ferroelectric Computing-in-Memory Architecture for Solving Mixed Strategy Nash Equilibrium. CoRR abs/2408.04169 (2024) - [i23]Yu Qian, Zeyu Yang, Kai Ni, Alptekin Vardar, Thomas Kämpfe, Xunzhao Yin:
HyCiM: A Hybrid Computing-in-Memory QUBO Solver for General Combinatorial Optimization Problems with Inequality Constraints. CoRR abs/2410.14111 (2024) - [i22]Xunzhao Yin, Hamza Errahmouni Barkam, Franz Müller, Yu Jiang, Mohsen Imani, Sukhrob Abdulazhanov, Alptekin Vardar, Nellie Laleni, Zijian Zhao, Jiahui Duan, Zhiguo Shi, Siddharth Joshi, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI. CoRR abs/2410.15296 (2024) - [i21]Chao Li, Zhicheng Xu, Bo Wen, Ruibin Mao, Chien-Mo James Li, Thomas Kämpfe, Kai Ni, Xunzhao Yin:
FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing. CoRR abs/2410.19356 (2024) - [i20]Zeyu Yang, Qingrong Huang, Yu Qian, Kai Ni, Thomas Kämpfe, Xunzhao Yin:
Energy Efficient Dual Designs of FeFET-Based Analog In-Memory Computing with Inherent Shift-Add Capability. CoRR abs/2410.19593 (2024) - 2023
- [j24]Xunzhao Yin, Franz Müller, Qingrong Huang, Chao Li, Mohsen Imani, Zeyu Yang, Jiahao Cai, Maximilian Lederer, Ricardo Olivo, Nellie Laleni, Shan Deng, Zijian Zhao, Zhiguo Shi, Yiyu Shi, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
An Ultracompact Single-Ferroelectric Field-Effect Transistor Binary and Multibit Associative Search Engine. Adv. Intell. Syst. 5(7) (2023) - [j23]Xinghua Yang, Zheyu Liu, Kechao Tang, Xunzhao Yin, Cheng Zhuo, Qi Wei, Fei Qiao:
Breaking the energy-efficiency barriers for smart sensing applications with "Sensing with Computing" architectures. Sci. China Inf. Sci. 66(10) (2023) - [j22]Cheng Zhuo, Di Gao, Yuan Cao, Tianhao Shen, Li Zhang, Jinfang Zhou, Xunzhao Yin:
A DVFS Design and Simulation Framework Using Machine Learning Models. IEEE Des. Test 40(1): 52-61 (2023) - [j21]Ying Wu, Chenyi Wen, Xunzhao Yin, Cheng Zhuo:
LMM: A Fixed-Point Linear Mapping Based Approximate Multiplier for IoT. J. Comput. Sci. Technol. 38(2): 298-308 (2023) - [j20]Xunzhao Yin, Yu Qian, Mohsen Imani, Kai Ni, Chao Li, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo:
Ferroelectric Ternary Content Addressable Memories for Energy-Efficient Associative Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1099-1112 (2023) - [j19]Cheng Zhuo, Zeyu Yang, Kai Ni, Mohsen Imani, Yuxuan Luo, Shaodi Wang, Deming Zhang, Xunzhao Yin:
Design of Ultracompact Content Addressable Memory Exploiting 1T-1MTJ Cell. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1450-1462 (2023) - [j18]Di Gao, Zeyu Yang, Qingrong Huang, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo:
BRoCoM: A Bayesian Framework for Robust Computing on Memristor Crossbar. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2136-2148 (2023) - [j17]Qingrong Huang, Zeyu Yang, Kai Ni, Mohsen Imani, Cheng Zhuo, Xunzhao Yin:
FeFET-Based In-Memory Hyperdimensional Encoding Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3829-3839 (2023) - [j16]Liu Liu, Ann Franchesca Laguna, Ramin Rajaei, Mohammad Mehdi Sharifi, Arman Kazemi, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
A Reconfigurable FeFET Content Addressable Memory for Multi-State Hamming Distance. IEEE Trans. Circuits Syst. I Regul. Pap. 70(6): 2356-2369 (2023) - [j15]Xiao Dong, Yufei Chen, Jun Chen, Yucheng Wang, Ji Li, Tianming Ni, Zhiguo Shi, Xunzhao Yin, Cheng Zhuo:
Worst-case Power Integrity Prediction Using Convolutional Neural Network. ACM Trans. Design Autom. Electr. Syst. 28(4): 54:1-54:19 (2023) - [c48]Chenyi Wen, Ying Wu, Xunzhao Yin, Cheng Zhuo:
Approximate Floating-Point FFT Design with Wide Precision-Range and High Energy Efficiency. ASP-DAC 2023: 134-139 - [c47]Wenhao Sun, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Bing Li, Ulf Schlichtmann:
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement. DATE 2023: 1-6 - [c46]Sukhrob Abdulazhanov, Quang Huy Le, Dang Khoa Huynh, Maximilian Lederer, Yannick Raffel, Kai Ni, Xunzhao Yin, Thomas Kämpfe, Gerald Gerlach:
Reconfigurable ferroelectric hafnium oxide FeFET fabricated in 28 nm CMOS technology for mmWave applications. ESSDERC 2023: 113-116 - [c45]Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin:
SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. ICCAD 2023: 1-9 - [i19]Ying Wu, Chuangtao Chen, Weihua Xiao, Xuan Wang, Chenyi Wen, Jie Han, Xunzhao Yin, Weikang Qian, Cheng Zhuo:
A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits. CoRR abs/2301.12181 (2023) - [i18]Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li:
Expressivity Enhancement with Efficient Quadratic Neurons for Convolutional Neural Networks. CoRR abs/2306.07294 (2023) - [i17]Xunzhao Yin, Yu Qian, Alptekin Vardar, Marcel Gunther, Franz Müller, Nellie Laleni, Zijian Zhao, Zhouhang Jiang, Zhiguo Shi, Yiyu Shi, Xiao Gong, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
A Ferroelectric Compute-in-Memory Annealer for Combinatorial Optimization Problems. CoRR abs/2309.13853 (2023) - [i16]Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin:
SEE-MCAM: Scalable Multi-bit FeFET Content Addressable Memories for Energy Efficient Associative Search. CoRR abs/2310.04940 (2023) - [i15]Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li:
OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. CoRR abs/2312.01403 (2023) - [i14]Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Grace Li Zhang:
Class-Aware Pruning for Efficient Neural Networks. CoRR abs/2312.05875 (2023) - [i13]Yifei Zhou, Xuchu Huang, Jianyi Yang, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin:
Low Power and Temperature-Resilient Compute-In-Memory Based on Subthreshold-FeFET. CoRR abs/2312.17442 (2023) - [i12]Haotian Xu, Jianyi Yang, Cheng Zhuo, Thomas Kämpfe, Kai Ni, Xunzhao Yin:
Reconfigurable Frequency Multipliers Based on Complementary Ferroelectric Transistors. CoRR abs/2312.17444 (2023) - 2022
- [j14]Qingrong Huang, Dayane Reis, Chao Li, Di Gao, Michael T. Niemier, Xiaobo Sharon Hu, Mohsen Imani, Xunzhao Yin, Cheng Zhuo:
Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic. IEEE Des. Test 39(2): 56-64 (2022) - [j13]Chuangtao Chen, Weikang Qian, Mohsen Imani, Xunzhao Yin, Cheng Zhuo:
PAM: A Piecewise-Linearly-Approximated Floating-Point Multiplier With Unbiasedness and Configurability. IEEE Trans. Computers 71(10): 2473-2486 (2022) - [j12]Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Xunzhao Yin, Thomas Kämpfe, Michael T. Niemier, X. Sharon Hu:
FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search. IEEE Trans. Computers 71(10): 2565-2576 (2022) - [j11]Jinyu Zhan, Ruoxu Sun, Wei Jiang, Yucheng Jiang, Xunzhao Yin, Cheng Zhuo:
Improving Fault Tolerance for Reliable DNN Using Boundary-Aware Activation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3414-3425 (2022) - [j10]Grace Li Zhang, Bing Li, Xing Huang, Xunzhao Yin, Cheng Zhuo, Masanori Hashimoto, Ulf Schlichtmann:
VirtualSync+: Timing Optimization With Virtual Synchronization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5526-5540 (2022) - [j9]Han Xu, Ningchao Lin, Li Luo, Qi Wei, Runsheng Wang, Cheng Zhuo, Xunzhao Yin, Fei Qiao, Huazhong Yang:
Senputing: An Ultra-Low-Power Always-On Vision Perception Chip Featuring the Deep Fusion of Sensing and Computing. IEEE Trans. Circuits Syst. I Regul. Pap. 69(1): 232-243 (2022) - [c44]Muya Chang, Xunzhao Yin, Zoltán Toroczkai, Xiaobo Hu, Arijit Raychowdhury:
An Analog Clock-free Compute Fabric base on Continuous-Time Dynamical System for Solving Combinatorial Optimization Problems. CICC 2022: 1-2 - [c43]Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, X. Sharon Hu:
iMARS: an in-memory-computing architecture for recommendation systems. DAC 2022: 463-468 - [c42]Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin:
Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. DAC 2022: 751-756 - [c41]Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani:
HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC 2022: 1141-1146 - [c40]Xiao Dong, Yufei Chen, Xunzhao Yin, Cheng Zhuo:
Worst-case dynamic power distribution network noise prediction using convolutional neural network. DAC 2022: 1225-1230 - [c39]Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao:
Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. DATE 2022: 52-55 - [c38]Liu Liu, Mohammad Mehdi Sharifi, Ramin Rajaei, Arman Kazemi, Kai Ni, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
Eva-CAM: A Circuit/Architecture-Level Evaluation Tool for General Content Addressable Memories. DATE 2022: 1173-1176 - [c37]Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin:
COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. ICCAD 2022: 137:1-137:9 - [c36]Wenwen Ye, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin:
Aging Aware Retraining for Memristor-based Neuromorphic Computing. ISCAS 2022: 3294-3298 - [p1]Ying Wu, Chuangtao Chen, Chenyi Wen, Weikang Qian, Xunzhao Yin, Cheng Zhuo:
Approximate Multiplier Design for Energy Efficiency: From Circuit to Algorithm. Approximate Computing 2022: 51-76 - [i11]Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
iMARS: An In-Memory-Computing Architecture for Recommendation Systems. CoRR abs/2202.09433 (2022) - [i10]Grace Li Zhang, Bing Li, Xing Huang, Xunzhao Yin, Cheng Zhuo, Masanori Hashimoto, Ulf Schlichtmann:
VirtualSync+: Timing Optimization with Virtual Synchronization. CoRR abs/2203.05516 (2022) - [i9]Xunzhao Yin, Franz Müller, Qingrong Huang, Chao Li, Mohsen Imani, Zeyu Yang, Jiahao Cai, Maximilian Lederer, Ricardo Olivo, Nellie Laleni, Shan Deng, Zijian Zhao, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
An Ultra-Compact Single FeFET Binary and Multi-Bit Associative Search Engine. CoRR abs/2203.07948 (2022) - [i8]Xiao Dong, Yufei Chen, Xunzhao Yin, Cheng Zhuo:
Worst-Case Dynamic Power Distribution Network Noise Prediction Using Convolutional Neural Network. CoRR abs/2204.13109 (2022) - [i7]Yu Fu, Yanyan Huang, Yalin Wang, Shunjie Dong, Le Xue, Xunzhao Yin, Qianqian Yang, Yiyu Shi, Cheng Zhuo:
OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt. CoRR abs/2205.04684 (2022) - [i6]Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin:
COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search. CoRR abs/2207.12188 (2022) - [i5]Xunzhao Yin, Qingrong Huang, Franz Müller, Shan Deng, Alptekin Vardar, Sourav De, Zhouhang Jiang, Mohsen Imani, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory. CoRR abs/2209.11971 (2022) - [i4]Wenhao Sun, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Bing Li, Ulf Schlichtmann:
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement. CoRR abs/2211.14926 (2022) - 2021
- [j8]Chuliang Guo, Li Zhang, Xian Zhou, Grace Li Zhang, Bing Li, Weikang Qian, Xunzhao Yin, Cheng Zhuo:
A Reconfigurable Multiplier for Signed Multiplications with Asymmetric Bit-Widths. ACM J. Emerg. Technol. Comput. Syst. 17(4): 48:1-48:16 (2021) - [j7]Han Xu, Ziru Li, Ningchao Lin, Qi Wei, Fei Qiao, Xunzhao Yin, Huazhong Yang:
MACSen: A Processing-In-Sensor Architecture Integrating MAC Operations Into Image Sensor for Ultra-Low-Power BNN-Based Intelligent Visual Perception. IEEE Trans. Circuits Syst. II Express Briefs 68(2): 627-631 (2021) - [c35]Hussam Amrouch, Xiaobo Sharon Hu, Mohsen Imani, Ann Franchesca Laguna, Michael T. Niemier, Simon Thomann, Xunzhao Yin, Cheng Zhuo:
Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. ASP-DAC 2021: 132-139 - [c34]Grace Li Zhang, Bing Li, Ying Zhu, Tianchen Wang, Yiyu Shi, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann:
Robustness of Neuromorphic Computing with RRAM-based Crossbars and Optical Neural Networks. ASP-DAC 2021: 853-858 - [c33]Alejandro Hernández-Cano, Cheng Zhuo, Xunzhao Yin, Mohsen Imani:
RegHD: Robust and Efficient Regression in Hyper-Dimensional Learning System. DAC 2021: 7-12 - [c32]Di Gao, Qingrong Huang, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo:
Bayesian Inference Based Robust Computing on Memristor Crossbar. DAC 2021: 121-126 - [c31]Prathyush Poduval, Zhuowen Zou, Xunzhao Yin, Elaheh Sadredini, Mohsen Imani:
Cognitive Correlative Encoding for Genome Sequence Matching in Hyperdimensional System. DAC 2021: 781-786 - [c30]Yu Qian, Zhenhao Fan, Haoran Wang, Chao Li, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin:
Energy-Aware Designs of Ferroelectric Ternary Content Addressable Memory. DATE 2021: 1090-1095 - [c29]Chuliang Guo, Xingang Yan, Yufei Chen, He Li, Xunzhao Yin, Cheng Zhuo:
Joint Sparsity with Mixed Granularity for Efficient GPU Implementation. DATE 2021: 1356-1359 - [c28]Alejandro Hernández-Cano, Cheng Zhuo, Xunzhao Yin, Mohsen Imani:
Real-Time and Robust Hyperdimensional Classification. ACM Great Lakes Symposium on VLSI 2021: 397-402 - [c27]Hussam Amrouch, Di Gao, Xiaobo Sharon Hu, Arman Kazemi, Ann Franchesca Laguna, Kai Ni, Michael T. Niemier, Mohammad Mehdi Sharifi, Simon Thomann, Xunzhao Yin, Cheng Zhuo:
ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems. ICCAD 2021: 1-8 - [c26]Di Gao, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo:
Reliable Memristor-based Neuromorphic Design Using Variation- and Defect-Aware Training. ICCAD 2021: 1-9 - [c25]Chuliang Guo, Yanbing Yang, Li Zhang, Shaodi Wang, He Li, Keyu Long, Xunzhao Yin, Cheng Zhuo:
Regularization-Free Structural Pruning for GPU Inference Acceleration. ISQED 2021: 149-153 - [c24]Prathyush Poduval, Mariam Issa, Farhad Imani, Cheng Zhuo, Xunzhao Yin, M. Hassan Najafi, Mohsen Imani:
Robust In-Memory Computing with Hyperdimensional Stochastic Representation. NANOARCH 2021: 1-6 - [c23]Simon Thomann, Chao Li, Cheng Zhuo, Om Prakash, Xunzhao Yin, Xiaobo Sharon Hu, Hussam Amrouch:
On the Reliability of In-Memory Computing: Impact of Temperature on Ferroelectric TCAM. VTS 2021: 1-6 - [i3]Xunzhao Yin, Franz Müller, Ann Franchesca Laguna, Chao Li, Wenwen Ye, Qingrong Huang, Qinming Zhang, Zhiguo Shi, Maximilian Lederer, Nellie Laleni, Shan Deng, Zijian Zhao, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
Deep Random Forest with Ferroelectric Analog Content Addressable Memory. CoRR abs/2110.02495 (2021) - 2020
- [j6]Xiaoming Chen, Kai Ni, Michael T. Niemier, Dayane Reis, Xiaoyu Sun, Panni Wang, Suman Datta, Xiaobo Sharon Hu, Xunzhao Yin, Matthew Jerry, Shimeng Yu, Ann Franchesca Laguna:
The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures. IEEE Des. Test 37(1): 79-99 (2020) - [j5]Mohsen Imani, Xunzhao Yin, John Messerly, Saransh Gupta, Michael T. Niemier, Xiaobo Sharon Hu, Tajana Rosing:
SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2422-2433 (2020) - [c22]Mengyuan Li, Xunzhao Yin, Xiaobo Sharon Hu, Cheng Zhuo:
Nonvolatile and Energy-Efficient FeFET-Based Multiplier for Energy-Harvesting Devices. ASP-DAC 2020: 562-567 - [c21]David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin:
Emerging Neural Workloads and Their Impact on Hardware. DATE 2020: 1462-1471 - [c20]Dayane Reis, Di Gao, Shaahin Angizi, Xunzhao Yin, Deliang Fan, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu:
Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. ACM Great Lakes Symposium on VLSI 2020: 39-44 - [c19]Dongning Ma, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu, Xun Jiao:
AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI 2020: 363-368 - [c18]Ann Franchesca Laguna, Hasindu Gamaarachchi, Xunzhao Yin, Michael T. Niemier, Sri Parameswaran, Xiaobo Sharon Hu:
Seed-and-Vote based In-Memory Accelerator for DNA Read Mapping. ICCAD 2020: 56:1-56:9 - [c17]Chuangtao Chen, Sen Yang, Weikang Qian, Mohsen Imani, Xunzhao Yin, Cheng Zhuo:
Optimally Approximated and Unbiased Floating-Point Multiplier with Runtime Configurability. ICCAD 2020: 121:1-121:9 - [c16]Ying Zhu, Grace Li Zhang, Bing Li, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann:
Countering Variations and Thermal Effects for Accurate Optical Neural Networks. ICCAD 2020: 152:1-152:7 - [c15]Xian Zhou, Li Zhang, Chuliang Guo, Xunzhao Yin, Cheng Zhuo:
A Convolutional Neural Network Accelerator Architecture with Fine-Granular Mixed Precision Configurability. ISCAS 2020: 1-5 - [c14]Yuan Cao, Tianhao Shen, Li Zhang, Xunzhao Yin, Cheng Zhuo:
An Efficient and Flexible Learning Framework for Dynamic Power and Thermal Co-Management. MLCAD 2020: 117-122 - [c13]Chuangtao Chen, Qingrong Huang, Chao Li, Li Zhang, Cheng Zhuo, Xunzhao Yin:
Analog Content Addressable Memory using Ferroelectric: A Case Study of Search-in-Memory. SoCC 2020: 108-112 - [i2]Xunzhao Yin, Chao Li, Qingrong Huang, Li Zhang, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Kai Ni:
FeCAM: A Universal Compact Digital and Analog Content Addressable Memory Using Ferroelectric. CoRR abs/2004.01866 (2020)
2010 – 2019
- 2019
- [j4]Xunzhao Yin, Kai Ni, Dayane Alfenas Reis, Suman Datta, Michael T. Niemier, Xiaobo Sharon Hu:
An Ultra-Dense 2FeFET TCAM Design Based on a Multi-Domain FeFET Model. IEEE Trans. Circuits Syst. II Express Briefs 66-II(9): 1577-1581 (2019) - [j3]Xunzhao Yin, Xiaoming Chen, Michael T. Niemier, Xiaobo Sharon Hu:
Ferroelectric FETs-Based Nonvolatile Logic-in-Memory Circuits. IEEE Trans. Very Large Scale Integr. Syst. 27(1): 159-172 (2019) - [c12]Ann Franchesca Laguna, Xunzhao Yin, Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu:
Ferroelectric FET Based In-Memory Computing for Few-Shot Learning. ACM Great Lakes Symposium on VLSI 2019: 373-378 - [c11]Jörg Henkel, Hussam Amrouch, Martin Rapp, Sami Salamin, Dayane Reis, Di Gao, Xunzhao Yin, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu, Hsiang-Yun Cheng, Chia-Lin Yang:
The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper. ICCAD 2019: 1-6 - [c10]Xunzhao Yin, Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu:
Ferroelectric FET Based TCAM Designs for Energy Efficient Computing. ISVLSI 2019: 437-442 - 2018
- [j2]Xunzhao Yin, Behnam Sedighi, Melinda Varga, Mária Ercsey-Ravasz, Zoltán Toroczkai, Xiaobo Sharon Hu:
Efficient Analog Circuits for Boolean Satisfiability. IEEE Trans. Very Large Scale Integr. Syst. 26(1): 155-167 (2018) - [c9]Xiaoming Chen, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
Design and optimization of FeFET-based crossbars for binary convolution neural networks. DATE 2018: 1205-1210 - [c8]Ahmedullah Aziz, Evelyn T. Breyer, An Chen, Xiaoming Chen, Suman Datta, Sumeet Kumar Gupta, Michael Hoffmann, Xiaobo Sharon Hu, Adrian M. Ionescu, Matthew Jerry, Thomas Mikolajick, Halid Mulaosmanovic, Kai Ni, Michael T. Niemier, Ian O'Connor, Atanu Saha, Stefan Slesazeck, Sandeep Krishna Thirumala, Xunzhao Yin:
Computing with ferroelectric FETs: Devices, models, systems, and applications. DATE 2018: 1289-1298 - [c7]Shubham Rai, Srivatsa Rangachar Srinivasa, Patsy Cadareanu, Xunzhao Yin, Xiaobo Sharon Hu, Pierre-Emmanuel Gaillardon, Vijaykrishnan Narayanan, Akash Kumar:
Emerging reconfigurable nanotechnologies: can they support future electronics? ICCAD 2018: 13 - 2017
- [c6]Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
Design and benchmarking of ferroelectric FET based TCAM. DATE 2017: 1444-1449 - [c5]Xunzhao Yin, Zoltán Toroczkai, Xiaobo Sharon Hu:
An analog SAT solver based on a deterministic dynamical system: (Invited paper). ICCAD 2017: 794-799 - 2016
- [j1]Yu Bi, Kaveh Shamsi, Jiann-Shiun Yuan, Pierre-Emmanuel Gaillardon, Giovanni De Micheli, Xunzhao Yin, Xiaobo Sharon Hu, Michael T. Niemier, Yier Jin:
Emerging Technology-Based Design of Primitives for Hardware Security. ACM J. Emerg. Technol. Comput. Syst. 13(1): 3:1-3:19 (2016) - [c4]Xunzhao Yin, Behnam Sedighi, Michael T. Niemier, Xiaobo Sharon Hu:
Design of latches and flip-flops using emerging tunneling devices. DATE 2016: 367-372 - [c3]An Chen, Xiaobo Sharon Hu, Yier Jin, Michael T. Niemier, Xunzhao Yin:
Using emerging technologies for hardware security beyond PUFs. DATE 2016: 1544-1549 - [c2]Yu Bi, Xiaobo Sharon Hu, Yier Jin, Michael T. Niemier, Kaveh Shamsi, Xunzhao Yin:
Enhancing Hardware Security with Emerging Transistor Technologies. ACM Great Lakes Symposium on VLSI 2016: 305-310 - [c1]Xunzhao Yin, Ahmedullah Aziz, Joseph Nahas, Suman Datta, Sumeet Kumar Gupta, Michael T. Niemier, Xiaobo Sharon Hu:
Exploiting ferroelectric FETs for low-power non-volatile logic-in-memory circuits. ICCAD 2016: 121 - [i1]Xunzhao Yin, Behnam Sedighi, Melinda Varga, Mária Ercsey-Ravasz, Zoltán Toroczkai, Xiaobo Sharon Hu:
Efficient Analog Circuits for Boolean Satisfiability. CoRR abs/1606.07467 (2016)
Coauthor Index
[j27] [j26] [j25] [c63] [c62] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c50] [c49] [i30] [i28] [i27] [i26] [i25] [i24] [i22] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j15] [c48] [c47] [c45] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [j14] [j13] [j11] [j10] [j9] [c42] [c40] [c37] [c36] [p1] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [j8] [c35] [c34] [c33] [c32] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i3] [c22] [c20] [c17] [c16] [c15] [c14] [c13] [i2] [c11]
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