Search Results - "Yin, Xunzhao"

Ferroelectric FETs-Based Nonvolatile Logic-in-Memory Circuits by Yin, Xunzhao, Chen, Xiaoming, Niemier, Michael, Hu, Xiaobo Sharon

“…Among the beyond-complementary metal-oxide-semiconductor (CMOS) devices being explored, ferroelectric field-effect transistors (FeFETs) are considered as one…”
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Design and benchmarking of ferroelectric FET based TCAM by Xunzhao Yin, Niemier, Michael, Hu, X. Sharon

“…We consider how emerging transistor technologies, specifically ferroelectric field effect transistors (or FeFETs), can realize compact and energy efficient…”
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Ferroelectric compute-in-memory annealer for combinatorial optimization problems by Yin, Xunzhao, Qian, Yu, Vardar, Alptekin, Günther, Marcel, Müller, Franz, Laleni, Nellie, Zhao, Zijian, Jiang, Zhouhang, Shi, Zhiguo, Shi, Yiyu, Gong, Xiao, Zhuo, Cheng, Kämpfe, Thomas, Ni, Kai

“…Computationally hard combinatorial optimization problems (COPs) are ubiquitous in many applications. Various digital annealers, dynamical Ising machines, and…”
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Efficient Analog Circuits for Boolean Satisfiability by Xunzhao Yin, Sedighi, Behnam, Varga, Melinda, Ercsey-Ravasz, Maria, Toroczkai, Zoltan, Hu, Xiaobo Sharon

“…Efficient solutions to nonpolynomial (NP)-complete problems would significantly benefit both science and industry. However, such problems are intractable on…”
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Exploiting ferroelectric FETs for low-power non-volatile logic-in-memory circuits by Xunzhao Yin, Aziz, Ahmedullah, Nahas, Joseph, Datta, Suman, Gupta, Sumeet, Niemier, Michael, Xiaobo Sharon Hu

“…Numerous research efforts are targeting new devices that could continue performance scaling trends associated with Moore's Law and/or accomplish computational…”
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Design and Analysis of an Ultra-Dense, Low-Leakage, and Fast FeFET-Based Random Access Memory Array by Reis, Dayane, Datta, Suman, Niemier, Michael T., Hu, Xiaobo Sharon, Ni, Kai, Chakraborty, Wriddhi, Yin, Xunzhao, Trentzsch, Martin, Dunkel, Stefan, Melde, Thomas, Muller, Johannes, Beyer, Sven

“…High static power associated with static random access memory (SRAM) represents a bottleneck in increasing the amount of on-chip memory. Novel, emerging…”
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Using emerging technologies for hardware security beyond PUFs by An Chen, Hu, X. Sharon, Yier Jin, Niemier, Michael, Xunzhao Yin

“…We discuss how the unique I-V characteristics offered by emerging, post-CMOS transistors can be used to enhance hardware security. Different from most existing…”
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Emerging Reconfigurable Nanotechnologies: Can they support Future Electronics? by Rai, Shubham, Srinivasa, Srivatsa, Cadareanu, Patsy, Xunzhao Yin, Hu, Xiaobo Sharon, Gaillardon, Pierre-Emmanuel, Narayanan, Vijaykrishnan, Kumar, Akash

“…Several emerging reconfigurable technologies have been explored in recent years offering device level runtime reconfigurability. These technologies offer the…”
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An Ultracompact Single‐Ferroelectric Field‐Effect Transistor Binary and Multibit Associative Search Engine by Yin, Xunzhao, Müller, Franz, Huang, Qingrong, Li, Chao, Imani, Mohsen, Yang, Zeyu, Cai, Jiahao, Lederer, Maximilian, Olivo, Ricardo, Laleni, Nellie, Deng, Shan, Zhao, Zijian, Shi, Zhiguo, Shi, Yiyu, Zhuo, Cheng, Kämpfe, Thomas, Ni, Kai

“…Content addressable memory (CAM) is widely used in associative search tasks due to its parallel pattern matching capability. As more complex and data‐intensive…”
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Hardware-Software Co-Design of an In-Memory Transformer Network Accelerator by Laguna, Ann Franchesca, Sharifi, Mohammed Mehdi, Kazemi, Arman, Yin, Xunzhao, Niemier, Michael, Hu, X. Sharon

“…Transformer networks have outperformed recurrent and convolutional neural networks in terms of accuracy in various sequential tasks. However, memory and…”
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Design of latches and flip-flops using emerging tunneling devices by Xunzhao Yin, Sedighi, Behnam, Niemier, Michael, Hu, X. Sharon

“…Tunneling field-effect transistors (TFETs) stand out among novel device technologies for low-power circuits and systems. While some TFETs exhibits behavior…”
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Energy-efficient Ternary Content Addressable Memory Using Ferroelectric FET by Xudong, Lu, Xunzhao, Yin

“…To overcome the Memory Wall problem in the traditional von Neumann machines, computing in-memory (CiM) circuits where computational tasks are performed within…”
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SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training by Imani, Mohsen, Yin, Xunzhao, Messerly, John, Gupta, Saransh, Niemier, Michael, Hu, Xiaobo Sharon, Rosing, Tajana

“…Brain-inspired hyperdimensional (HD) computing emulates cognitive tasks by computing with long binary vectors-also know as hypervectors-as opposed to computing…”
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An Ultra-Dense 2FeFET TCAM Design Based on a Multi-Domain FeFET Model by Yin, Xunzhao, Ni, Kai, Reis, Dayane, Datta, Suman, Niemier, Michael, Hu, Xiaobo Sharon

“…Ternary content addressable memories (TCAMs) represent a form of logic-in-memory and are currently widely used in routers, caches, and efficient machine…”
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FeCAM: A Universal Compact Digital and Analog Content Addressable Memory Using Ferroelectric by Yin, Xunzhao, Li, Chao, Huang, Qingrong, Zhang, Li, Niemier, Michael, Hu, Xiaobo Sharon, Zhuo, Cheng, Ni, Kai

“…Ferroelectric field effect transistors (FeFETs) are being actively investigated with the potential for in-memory computing (IMC) over other nonvolatile…”
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PAM: A Piecewise-Linearly-Approximated Floating-Point Multiplier With Unbiasedness and Configurability by Chen, Chuangtao, Qian, Weikang, Imani, Mohsen, Yin, Xunzhao, Zhuo, Cheng

“…Approximate computing is a promising alternative to improve energy efficiency for IoT devices on the edge. This work proposes a piecewise-linearly-approximated…”
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Improving Fault Tolerance for Reliable DNN Using Boundary-Aware Activation by Zhan, Jinyu, Sun, Ruoxu, Jiang, Wei, Jiang, Yucheng, Yin, Xunzhao, Zhuo, Cheng

“…In this article, we approach to construct reliable deep neural networks (DNNs) for safety-critical artificial intelligent applications. We propose to modify…”
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An analog SAT solver based on a deterministic dynamical system: (Invited paper) by Xunzhao Yin, Toroczkai, Zoltan, Hu, Xiaobo Sharon

“…Boolean Satisfiability (SAT), the first problem proven to be NP-complete, is intractable on digital computers based on the von Neumann architecture. An…”
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Fast Machine-Learning-Driven Supply Noise-Aware Macromodeling for High-Speed Nonlinear Drivers by Sun, Songyu, Dong, Xiao, Sun, Qi, Yin, Xunzhao, Chen, Quan, Zhuo, Cheng

“…Emerging domains such as artificial intelligence, 5G mobile and automotive are increasingly reliant on high-speed circuits for efficient processing, in which…”
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Enhancing ConvNets With ConvFIFO: A Crossbar PIM Architecture Based on Kernel-Stationary First-In-First-Out Dataflow by Qian, Yu, Zhao, Liang, Meng, Fanzi, Xu, Xiapeng, Zhuo, Cheng, Yin, Xunzhao

“…Convolutional neural networks (ConvNets) have long been the model of choice for computer vision (CV) problems and gained renewed traction lately. In order to…”
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