| 2022 | 2022 CAD Contest Problem A: Learning Arithmetic Operations from Gate-Level Circuit. Chung-Han Chou, Chih-Jen (Jacky) Hsu, Chi-An (Rocky) Wu, Kuan-Hua Tu |
| 2022 | 2022 ICCAD CAD Contest Problem B: 3D Placement with D2D Vertical Connections. Kai-Shun Hu, I-Jye Lin, Yu-Hui Huang, Hao-Yu Chi, Yi-Hsuan Wu, Cindy Chin-Fang Shen |
| 2022 | 2022 ICCAD CAD Contest Problem C: Microarchitecture Design Space Exploration. Sicheng Li, Chen Bai, Xuechao Wei, Bizhao Shi, Yen-Kuang Chen, Yuan Xie |
| 2022 | A Combined Logical and Physical Attack on Logic Obfuscation. Michael Zuzak, Yuntao Liu, Isaac McDaniel, Ankur Srivastava |
| 2022 | A High-Precision Stochastic Solver for Steady-State Thermal Analysis with Fourier Heat Transfer Robin Boundary Conditions. Longlong Yang, Cuiyang Ding, Changhao Yan, Dian Zhou, Xuan Zeng |
| 2022 | A Mixed Open-Source and Proprietary EDA Commons for Education and Prototyping. Andrew B. Kahng |
| 2022 | A Novel Blockage-Avoiding Macro Placement Approach for 3D ICs Based on POCS. Jai-Ming Lin, Po-Chen Lu, Heng-Yu Lin, Jia-Ting Tsai |
| 2022 | A Novel Semi-Analytical Approach for Fast Electromigration Stress Analysis in Multi-Segment Interconnects. Olympia Axelou, Nestor E. Evmorfopoulos, George Floros, George I. Stamoulis, Sachin S. Sapatnekar |
| 2022 | A Pragmatic Methodology for Blind Hardware Trojan Insertion in Finalized Layouts. Alexander Hepp, Tiago D. Perez, Samuel Pagliarini, Georg Sigl |
| 2022 | A Reconfigurable Hardware Library for Robot Scene Perception. Yanqi Liu, Anthony Opipari, Odest Chadwicke Jenkins, R. Iris Bahar |
| 2022 | A Robust Global Routing Engine with High-Accuracy Cell Movement under Advanced Constraints. Ziran Zhu, Fuheng Shen, Yangjie Mei, Zhipeng Huang, Jianli Chen, Jun Yang |
| 2022 | A Robust Quantum Layout Synthesis Algorithm with a Qubit Mapping Checker. Tsou-An Wu, Yun-Jhe Jiang, Shao-Yun Fang |
| 2022 | A Scalable Methodology for Agile Chip Development with Open-Source Hardware Components. Maico Cassel dos Santos, Tianyu Jia, Martin Cochet, Karthik Swaminathan, Joseph Zuckerman, Paolo Mantovani, Davide Giri, Jeff Jun Zhang, Erik Jens Loscalzo, Gabriele Tombesi, Kevin Tien, Nandhini Chandramoorthy, John-David Wellman, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose |
| 2022 | A Stochastic Approach to Handle Non-Determinism in Deep Learning-Based Design Rule Violation Predictions. Rongjian Liang, Hua Xiang, Jinwook Jung, Jiang Hu, Gi-Joon Nam |
| 2022 | ASPPLN: Accelerated Symbolic Probability Propagation in Logic Network. Weihua Xiao, Weikang Qian |
| 2022 | ATLAS: A Two-Level Layer-Aware Scheme for Routing with Cell Movement. Xinshi Zang, Fangzhou Wang, Jinwei Liu, Martin D. F. Wong |
| 2022 | Accelerating Cache Coherence in Manycore Processor through Silicon Photonic Chiplet. Chengeng Li, Fan Jiang, Shixi Chen, Jiaxu Zhang, Yinyi Liu, Yuxiang Fu, Jiang Xu |
| 2022 | Accelerating Fully Homomorphic Encryption by Bridging Modular and Bit-Level Arithmetic. Eduardo Chielle, Oleg Mazonka, Homer Gamil, Michail Maniatakos |
| 2022 | Accelerating N-Bit Operations over TFHE on Commodity CPU-FPGA. Kevin Nam, Hyunyoung Oh, Hyungon Moon, Yunheung Paek |
| 2022 | AdaOPC: A Self-Adaptive Mask Optimization Framework for Real Design Patterns. Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2022 | Aging-Aware Training for Printed Neuromorphic Circuits. Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2022 | All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang |
| 2022 | An Approach to Unlocking Cyclic Logic Locking: LOOPLock 2.0. Pei-Pei Chen, Xiang-Min Yang, Yi-Ting Li, Yung-Chih Chen, Chun-Yao Wang |
| 2022 | An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo |
| 2022 | Analyzing and Improving Resilience and Robustness of Autonomous Systems. Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury |
| 2022 | AntiSIFA-CAD: A Framework to Thwart SIFA at the Layout Level. Rajat Sadhukhan, Sayandeep Saha, Debdeep Mukhopadhyay |
| 2022 | AppGNN: Approximation-Aware Functional Reverse Engineering Using Graph Neural Networks. Tim Bücher, Lilas Alrahis, Guilherme Paim, Sergio Bampi, Ozgur Sinanoglu, Hussam Amrouch |
| 2022 | Applying GNNs to Timing Estimation at RTL. Daniela Sanchez Lopera, Wolfgang Ecker |
| 2022 | Approximate Computing and the Efficient Machine Learning Expedition. Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis |
| 2022 | Arjun: An Efficient Independent Support Computation Technique and its Applications to Counting and Sampling. Mate Soos, Kuldeep S. Meel |
| 2022 | Associative Memory Based Experience Replay for Deep Reinforcement Learning. Mengyuan Li, Arman Kazemi, Ann Franchesca Laguna, X. Sharon Hu |
| 2022 | Attack Directories on ARM big.LITTLE Processors. Zili Kou, Sharad Sinha, Wenjian He, Wei Zhang |
| 2022 | Attacks on Image Sensors. Marilyn Wolf, Kruttidipta Samal |
| 2022 | Automatic Test Configuration and Pattern Generation (ATCPG) for Neuromorphic Chips. I-Wei Chiu, Xin-Ping Chen, Jennifer Shueh-Inn Hu, James Chien-Mo Li |
| 2022 | Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao |
| 2022 | Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture. Gokul Krishnan, A. Alper Goksoy, Sumit K. Mandal, Zhenyu Wang, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao |
| 2022 | CASU: Compromise Avoidance via Secure Update for Low-End Embedded Systems. Ivan De Oliveira Nunes, Sashidhar Jakkamsetti, Youngil Kim, Gene Tsudik |
| 2022 | COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. 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 |
| 2022 | CoMUX: Combinatorial-Coding-Based High-Performance Microfluidic Control Multiplexer Design. Siyuan Liang, Mengchu Li, Tsun-Ming Tseng, Ulf Schlichtmann, Tsung-Yi Ho |
| 2022 | Combining BMC and Complementary Approximate Reachability to Accelerate Bug-Finding. Xiaoyu Zhang, Shengping Xiao, Jianwen Li, Geguang Pu, Ofer Strichman |
| 2022 | Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks. Elias Trommer, Bernd Waschneck, Akash Kumar |
| 2022 | Compositional Verification Using a Formal Component and Interface Specification. Yue Xing, Huaixi Lu, Aarti Gupta, Sharad Malik |
| 2022 | Computing-In-Memory Neural Network Accelerators for Safety-Critical Systems: Can Small Device Variations Be Disastrous? Zheyu Yan, Xiaobo Sharon Hu, Yiyu Shi |
| 2022 | DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning. Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani |
| 2022 | DCIM-GCN: Digital Computing-in-Memory to Efficiently Accelerate Graph Convolutional Networks. Yikan Qiu, Yufei Ma, Wentao Zhao, Meng Wu, Le Ye, Ru Huang |
| 2022 | DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters. Zhiyao Xie, Shiyu Li, Mingyuan Ma, Chen-Chia Chang, Jingyu Pan, Yiran Chen, Jiang Hu |
| 2022 | DaS: Implementing Dense Ising Machines Using Sparse Resistive Networks. Naomi Sagan, Jaijeet Roychowdhury |
| 2022 | DeePEB: A Neural Partial Differential Equation Solver for Post Exposure Baking Simulation in Lithography. Qipan Wang, Xiaohan Gao, Yibo Lin, Runsheng Wang, Ru Huang |
| 2022 | Deep Learning Toolkit-Accelerated Analytical Co-Optimization of CNN Hardware and Dataflow. Rongjian Liang, Jianfeng Song, Bo Yuan, Jiang Hu |
| 2022 | Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators. Kang He, Indranil Chakraborty, Cheng Wang, Kaushik Roy |
| 2022 | Design and Technology Co-Optimization Utilizing Multi-Bit Flip-Flop Cells. Soomin Kim, Taewhan Kim |
| 2022 | Designing Energy-Efficient Decision Tree Memristor Crossbar Circuits Using Binary Classification Graphs. Pranav Sinha, Sunny Raj |
| 2022 | Don't CWEAT It: Toward CWE Analysis Techniques in Early Stages of Hardware Design. Baleegh Ahmad, Wei-Kai Liu, Luca Collini, Hammond Pearce, Jason M. Fung, Jonathan Valamehr, Mohammad Bidmeshki, Piotr Sapiecha, Steve Brown, Krishnendu Chakrabarty, Ramesh Karri, Benjamin Tan |
| 2022 | DynaPAT: A Dynamic Pattern-Aware Encoding Technique for Robust MLC PCM-Based Deep Neural Networks. Thai-Hoang Nguyen, Muhammad Imran, Joon-Sung Yang |
| 2022 | Dynamic Frequency Boosting Beyond Critical Path Delay. Nikolaos Zompakis, Sotirios Xydis |
| 2022 | EI-MOR: A Hybrid Exponential Integrator and Model Order Reduction Approach for Transient Power/Ground Network Analysis. Cong Wang, Dongen Yang, Quan Chen |
| 2022 | EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System. Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie |
| 2022 | Embracing Graph Neural Networks for Hardware Security. Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu |
| 2022 | Equivalence Checking of Dynamic Quantum Circuits. Xin Hong, Yuan Feng, Sanjiang Li, Mingsheng Ying |
| 2022 | Evaluating the Security of eFPGA-Based Redaction Algorithms. Amin Rezaei, Raheel Afsharmazayejani, Jordan Maynard |
| 2022 | Exploiting Uniform Spatial Distribution to Design Efficient Random Number Source for Stochastic Computing. Kuncai Zhong, Zexi Li, Haoran Jin, Weikang Qian |
| 2022 | Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper). Yuhui Hao, Bo Yu, Qiang Liu, Shaoshan Liu, Yuhao Zhu |
| 2022 | False Data Injection Attacks on Sensor Systems. Dimitrios Serpanos |
| 2022 | Fast and Compact Interleaved Modular Multiplication Based on Carry Save Addition. Oleg Mazonka, Eduardo Chielle, Deepraj Soni, Michail Maniatakos |
| 2022 | Fast, Robust and Accurate Detection of Cache-Based Spectre Attack Phases. Arash Pashrashid, Ali Hajiabadi, Trevor E. Carlson |
| 2022 | FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Mauricio Duarte, Farinaz Koushanfar |
| 2022 | Fault-Tolerant Deep Learning Using Regularization. Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande |
| 2022 | Fine-Granular Computation and Data Layout Reorganization for Improving Locality. Mahmut T. Kandemir, Xulong Tang, Jagadish Kotra, Mustafa Karaköy |
| 2022 | Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan |
| 2022 | GIA: A Reusable General Interposer Architecture for Agile Chiplet Integration. Fuping Li, Ying Wang, Yuanqing Cheng, Yujie Wang, Yinhe Han, Huawei Li, Xiaowei Li |
| 2022 | GPU-Accelerated Rectilinear Steiner Tree Generation. Zizheng Guo, Feng Gu, Yibo Lin |
| 2022 | Garbled EDA: Privacy Preserving Electronic Design Automation. Mohammad Hashemi, Steffi Roy, Fatemeh Ganji, Domenic Forte |
| 2022 | Generation of Mixed-Driving Multi-Bit Flip-Flops for Power Optimization. Meng-Yun Liu, Yu-Cheng Lai, Wai-Kei Mak, Ting-Chi Wang |
| 2022 | Graph Neural Networks for Idling Error Mitigation. Vedika Saravanan, Samah Mohamed Saeed |
| 2022 | GraphRC: Accelerating Graph Processing on Dual-Addressing Memory with Vertex Merging. Wei Cheng, Chun-Feng Wu, Yuan-Hao Chang, Ing-Chao Lin |
| 2022 | Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy. Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang |
| 2022 | HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration. William Andrew Simon, Una Pale, Tomás Teijeiro, David Atienza |
| 2022 | HECTOR: A Multi-Level Intermediate Representation for Hardware Synthesis Methodologies. Ruifan Xu, Youwei Xiao, Jin Luo, Yun Liang |
| 2022 | Hardware Architecture of Graph Neural Network-Enabled Motion Planner (Invited Paper). Lingyi Huang, Xiao Zang, Yu Gong, Bo Yuan |
| 2022 | Hardware Computation Graph for DNN Accelerator Design Automation without Inter-PU Templates. Jun Li, Wei Wang, Wu-Jun Li |
| 2022 | Hardware IP Protection against Confidentiality Attacks and Evolving Role of CAD Tool. Swarup Bhunia, Amitabh Das, Saverio Fazzari, Vivian Kammler, David Kehlet, Jeyavijayan Rajendran, Ankur Srivastava |
| 2022 | Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng |
| 2022 | Hidden-ROM: A Compute-in-ROM Architecture to Deploy Large-Scale Neural Networks on Chip with Flexible and Scalable Post-Fabrication Task Transfer Capability. Yiming Chen, Guodong Yin, Mingyen Lee, Wenjun Tang, Zekun Yang, Yongpan Liu, Huazhong Yang, Xueqing Li |
| 2022 | HierPINN-EM: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnects Using Hierarchical Physics-Informed Neural Network. Wentian Jin, Liang Chen, Subed Lamichhane, Mohammadamir Kavousi, Sheldon X.-D. Tan |
| 2022 | How Good Is Your Verilog RTL Code?: A Quick Answer from Machine Learning. Prianka Sengupta, Aakash Tyagi, Yiran Chen, Jiang Hu |
| 2022 | HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering. Ali Aghdaei, Zhuo Feng |
| 2022 | IEEE CEDA DATC: Expanding Research Foundations for IC Physical Design and ML-Enabled EDA. Jinwook Jung, Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang |
| 2022 | INDENT: Incremental Online Decision Tree Training for Domain-Specific Systems-on-Chip. Anish Krishnakumar, Radu Marculescu, Ümit Y. Ogras |
| 2022 | ISSA: Input-Skippable, Set-Associative Computing-in-Memory (SA-CIM) Architecture for Neural Network Accelerators. Yun-Chen Lo, Chih-Chen Yeh, Jun-Shen Wu, Chia-Chun Wang, Yu-Chih Tsai, Wen-Chien Ting, Ren-Shuo Liu |
| 2022 | Inhale: Enabling High-Performance and Energy-Efficient In-SRAM Cryptographic Hash for IoT. Jingyao Zhang, Elaheh Sadredini |
| 2022 | Language Equation Solving via Boolean Automata Manipulation. Wan-Hsuan Lin, Chia-Hsuan Su, Jie-Hong R. Jiang |
| 2022 | LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling. Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu |
| 2022 | Logic Synthesis for Digital In-Memory Computing. Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz |
| 2022 | Low-Cost 7T-SRAM Compute-in-Memory Design Based on Bit-Line Charge-Sharing Based Analog-to-Digital Conversion. Kyeongho Lee, Joonhyung Kim, Jongsun Park |
| 2022 | MCQA: Multi-Constraint Qubit Allocation for Near-FTQC Device. Sunghye Park, Dohun Kim, Jae-Yoon Sim, Seokhyeong Kang |
| 2022 | Machine Learning for Testing Machine-Learning Hardware: A Virtuous Cycle. Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty |
| 2022 | ModelMap: A Model-Based Multi-Domain Application Framework for Centralized Automotive Systems. Soham Sinha, Anam Farrukh, Richard West |
| 2022 | Multi-Package Co-Design for Chiplet Integration. Zhen Zhuang, Bei Yu, Kai-Yuan Chao, Tsung-Yi Ho |
| 2022 | NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks. Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, Yingyan Lin |
| 2022 | Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. Yang Ni, Nicholas A. Lesica, Fan-Gang Zeng, Mohsen Imani |
| 2022 | Numerically-Stable and Highly-Scalable Parallel LU Factorization for Circuit Simulation. Xiaoming Chen |
| 2022 | ObfuNAS: A Neural Architecture Search-Based DNN Obfuscation Approach. Tong Zhou, Shaolei Ren, Xiaolin Xu |
| 2022 | Observation Point Insertion Using Deep Learning. Bonita Bhaskaran, Sanmitra Banerjee, Kaushik Narayanun, Shao-Chun Hung, Seyed Nima Mozaffari Mojaveri, Mengyun Liu, Gang Chen, Tung-Che Liang |
| 2022 | Obstacle-Avoiding Multiple Redistribution Layer Routing with Irregular Structures. Yen-Ting Chen, Yao-Wen Chang |
| 2022 | On Advancing Physical Design Using Graph Neural Networks. Yi-Chen Lu, Sung Kyu Lim |
| 2022 | On Minimizing the Read Latency of Flash Memory to Preserve Inter-Tree Locality in Random Forest. Yu-Cheng Lin, Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, Wei-Kuan Shih |
| 2022 | Overview of 2022 CAD Contest at ICCAD. Yu-Guang Chen, Chun-Yao Wang, Tsung-Wei Huang, Takashi Sato |
| 2022 | Personalized Heterogeneity-Aware Federated Search Towards Better Accuracy and Energy Efficiency. Zhao Yang, Qingshuang Sun |
| 2022 | Physics-Aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks. Yingjie Li, Ruiyang Chen, Weilu Gao, Cunxi Yu |
| 2022 | Pin Accessibility and Routing Congestion Aware DRC Hotspot Prediction Using Graph Neural Network and U-Net. Kyeonghyeon Baek, Hyunbum Park, Suwan Kim, Kyumyung Choi, Taewhan Kim |
| 2022 | Polynomial Formal Verification: Ensuring Correctness under Resource Constraints. Rolf Drechsler, Alireza Mahzoon |
| 2022 | PowerTouch: A Security Objective-Guided Automation Framework for Generating Wired Ghost Touch Attacks on Touchscreens. Huifeng Zhu, Zhiyuan Yu, Weidong Cao, Ning Zhang, Xuan Zhang |
| 2022 | Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2022, San Diego, California, USA, 30 October 2022 - 3 November 2022 Tulika Mitra, Evangeline F. Y. Young, Jinjun Xiong |
| 2022 | QCIR: Pattern Matching Based Universal Quantum Circuit Rewriting Framework. Mingyu Chen, Yu Zhang, Yongshang Li, Zhen Wang, Jun Li, Xiangyang Li |
| 2022 | Qilin: Enabling Performance Analysis and Optimization of Shared-Virtual Memory Systems with FPGA Accelerators. Edward Richter, Deming Chen |
| 2022 | QuBRIM: A CMOS Compatible Resistively-Coupled Ising Machine with Quantized Nodal Interactions. Yiqiao Zhang, Uday Kumar Reddy Vengalam, Anshujit Sharma, Michael C. Huang, Zeljko Ignjatovic |
| 2022 | Quantitative Verification and Design Space Exploration under Uncertainty with Parametric Stochastic Contracts. Chanwook Oh, Michele Lora, Pierluigi Nuzzo |
| 2022 | Quantum Machine Learning Applications in High-Energy Physics. Andrea Delgado, Kathleen E. Hamilton |
| 2022 | Quantum Machine Learning for Material Synthesis and Hardware Security (Invited Paper). Collin Beaudoin, Satwik Kundu, Rasit Onur Topaloglu, Swaroop Ghosh |
| 2022 | Quantum Neural Network Compression. Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang |
| 2022 | Qubit Mapping for Reconfigurable Atom Arrays. Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong |
| 2022 | RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin |
| 2022 | Re Hyein Shin, Myeonggu Kang, Lee-Sup Kim |
| 2022 | Re-LSM: A ReRAM-Based Processing-in-Memory Framework for LSM-Based Key-Value Store. Qian Wei, Zhaoyan Shen, Yiheng Tong, Zhiping Jia, Lei Ju, Jiezhi Chen, Bingzhe Li |
| 2022 | ReD-LUT: Reconfigurable In-DRAM LUTs Enabling Massive Parallel Computation. Ranyang Zhou, Arman Roohi, Durga Misra, Shaahin Angizi |
| 2022 | ReSiPI: A Reconfigurable Silicon-Photonic 2.5D Chiplet Network with PCMs for Energy-Efficient Interposer Communication. Ebadollah Taheri, Sudeep Pasricha, Mahdi Nikdast |
| 2022 | Reconfigurable Logic for Hardware IP Protection: Opportunities and Challenges. Luca Collini, Benjamin Tan, Christian Pilato, Ramesh Karri |
| 2022 | Reinforcement Learning and DEAR Framework for Solving the Qubit Mapping Problem. Ching-Yao Huang, Chi-Hsiang Lien, Wai-Kei Mak |
| 2022 | Reliable Computing of ReRAM Based Compute-in-Memory Circuits for AI Edge Devices. Meng-Fan Chang, Je-Ming Hung, Ping-Cheng Chen, Tai-Hao Wen |
| 2022 | Reliable Machine Learning for Wearable Activity Monitoring: Novel Algorithms and Theoretical Guarantees. Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa |
| 2022 | Robustify ML-Based Lithography Hotspot Detectors. Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Jiang Hu, Yiran Chen |
| 2022 | Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems. Luke Chen, Mohanad Odema, Mohammad Abdullah Al Faruque |
| 2022 | Routability-Driven Analytical Placement with Precise Penalty Models for Large-Scale 3D ICs. Jai-Ming Lin, Hao-Yuan Hsieh, Hsuan Kung, Hao-Jia Lin |
| 2022 | SGIRR: Sparse Graph Index Remapping for ReRAM Crossbar Operation Unit and Power Optimization. Cheng-Yuan Wang, Yao-Wen Chang, Yuan-Hao Chang |
| 2022 | SHAPE: Scheduling of Fixed-Priority Tasks on Heterogeneous Architectures with Multiple CPUs and Many PEs. Yuankai Xu, Tiancheng He, Ruiqi Sun, Yehan Ma, Yier Jin, An Zou |
| 2022 | SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon. Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Fabrizio Ferrandi |
| 2022 | ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling. Sizhe Zhang, Mohsen Imani, Xun Jiao |
| 2022 | Securing Hardware through Reconfigurable Nano-Structures. Nima Kavand, Armin Darjani, Shubham Rai, Akash Kumar |
| 2022 | Sensor Security: Current Progress, Research Challenges, and Future Roadmap (Invited Paper). Anomadarshi Barua, Mohammad Abdullah Al Faruque |
| 2022 | Seprox: Sequence-Based Approximations for Compressing Ultra-Low Precision Deep Neural Networks. Aradhana Mohan Parvathy, Sarada Krithivasan, Sanchari Sen, Anand Raghunathan |
| 2022 | Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware. Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin |
| 2022 | Sound Source Localization Using Stochastic Computing. Peter Schober, Seyedeh Newsha Estiri, Sercan Aygun, Nima Taherinejad, M. Hassan Najafi |
| 2022 | Sparse-T: Hardware Accelerator Thread for Unstructured Sparse Data Processing. Pranathi Vasireddy, Krishna Kavi, Gayatri Mehta |
| 2022 | Spatz: A Compact Vector Processing Unit for High-Performance and Energy-Efficient Shared-L1 Clusters. Matheus A. Cavalcante, Domenic Wüthrich, Matteo Perotti, Samuel Riedel, Luca Benini |
| 2022 | SpecPart: A Supervised Spectral Framework for Hypergraph Partitioning Solution Improvement. Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang |
| 2022 | Speculative Load Forwarding Attack on Modern Processors. Hasini Witharana, Prabhat Mishra |
| 2022 | Squeezing Accumulators in Binary Neural Networks for Extremely Resource-Constrained Applications. Azat Azamat, Jaewoo Park, Jongeun Lee |
| 2022 | Stochastic Mixed-Signal Circuit Design for In-Sensor Privacy. Ningyuan Cao, Jianbo Liu, Boyang Cheng, Muya Chang |
| 2022 | Sub-Resolution Assist Feature Generation with Reinforcement Learning and Transfer Learning. Guan-Ting Liu, Wei-Chen Tai, Yi-Ting Lin, Iris Hui-Ru Jiang, James P. Shiely, Pu-Jen Cheng |
| 2022 | Superfast Full-Scale CPU-Accelerated Global Routing. Shiju Lin, Martin D. F. Wong |
| 2022 | TAG: Learning Circuit Spatial Embedding from Layouts. Keren Zhu, Hao Chen, Walker J. Turner, George F. Kokai, Po-Hsuan Wei, David Z. Pan, Haoxing Ren |
| 2022 | Technology Mapping of Genetic Circuits: From Optimal to Fast Solutions. Tobias Schwarz, Christian Hochberger |
| 2022 | Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping. Carl-Johannes Johnsen, Tiziano De Matteis, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler |
| 2022 | TorchQuantum Case Study for Robust Quantum Circuits. Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han |
| 2022 | Towards High Performance and Accurate BNN Inference on FPGA with Structured Fine-Grained Pruning. Keqi Fu, Zhi Qi, Jiaxuan Cai, Xulong Shi |
| 2022 | Towards High-Quality CGRA Mapping with Graph Neural Networks and Reinforcement Learning. Yan Zhuang, Zhihao Zhang, Dajiang Liu |
| 2022 | TransSizer: A Novel Transformer-Based Fast Gate Sizer. Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang, Brucek Khailany, Haoxing Ren |
| 2022 | Transitive Closure Graph-Based Warpage-Aware Floorplanning for Package Designs. Yang Hsu, Min-Hsuan Chung, Yao-Wen Chang, Ci-Hong Lin |
| 2022 | Tunable Precision Control for Approximate Image Filtering in an In-Memory Architecture with Embedded Neurons. Ayushi Dube, Ankit Wagle, Gian Singh, Sarma B. K. Vrudhula |
| 2022 | Usage-Based RTL Subsetting for Hardware Accelerators. Qinhan Tan, Aarti Gupta, Sharad Malik |
| 2022 | WSQ-AdderNet: Efficient Weight Standardization Based Quantized AdderNet FPGA Accelerator Design with High-Density INT8 DSP-LUT Co-Packing Optimization. Yunxiang Zhang, Biao Sun, Weixiong Jiang, Yajun Ha, Miao Hu, Wenfeng Zhao |
| 2022 | WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning. Qijing Wang, Martin D. F. Wong |
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