| 2023 | $\mathcal{D}\mathsf{iCA}$: A Hardware-Software Co-Design for Differential Check-Pointing in Intermittently Powered Devices. Antonio Joia Neto, Adam Caulfield, Chistabelle Alvares, Ivan De Oliveira Nunes |
| 2023 | $\mathcal{P}\text{ARseL}$: Towards a Verified Root-of-Trust Over seL4. Ivan De Oliveira Nunes, Seoyeon Hwang, Sashidhar Jakkamsetti, Norrathep Rattanavipanon, Gene Tsudik |
| 2023 | 3DNN-Xplorer: A Machine Learning Framework for Design Space Exploration of Heterogeneous 3D DNN Accelerators. Gauthaman Murali, Aditya Iyer, Navneeth Ravichandran, Sung Kyu Lim |
| 2023 | A General Wavelength-Routed Optical Networks-on-Chip Model with Applications to Provably Good Customized and Fault-Tolerant Topology Designs. Yan-Lin Chen, Wei-Che Tseng, Wei-Yao Kao, Yao-Wen Chang |
| 2023 | A Novel and Efficient Block-Based Programming for ReRAM-Based Neuromorphic Computing. Wei-Lun Chen, Fang-Yi Gu, Ing-Chao Lin, Grace Li Zhang, Bing Li, Ulf Schlichtmann |
| 2023 | A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS. Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Guohao Dai, Ningyi Xu |
| 2023 | A Transfer Learning Framework for High-Accurate Cross-Workload Design Space Exploration of CPU. Duo Wang, Mingyu Yan, Yihan Teng, Dengke Han, Haoran Dang, Xiaochun Ye, Dongrui Fan |
| 2023 | ACOR: On the Design of Energy-Efficient Autocorrelation for Emerging Edge Applications. Charalampos Eleftheriadis, Georgios Karakonstantis |
| 2023 | AIM: Accelerating Arbitrary-Precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP. Zhuoping Yang, Jinming Zhuang, Jiaqi Yin, Cunxi Yu, Alex K. Jones, Peipei Zhou |
| 2023 | ARES: A Mapping Framework of DNNs Towards Diverse PIMs with General Abstractions. Xiuping Cui, Size Zheng, Tianyu Jia, Le Ye, Yun Liang |
| 2023 | ARIES: Accelerating Distributed Training in Chiplet-Based Systems via Flexible Interconnects. Lingxiang Yin, Amir Ghazizadeh, Ahmed Louri, Hao Zheng |
| 2023 | ARMM: Adaptive Reliability Quantification Model of Microfluidic Designs and its Graph-Transformer-Based Implementation. Siyuan Liang, Meng Lian, Mengchu Li, Tsun-Ming Tseng, Ulf Schlichtmann, Tsung-Yi Ho |
| 2023 | Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding |
| 2023 | Accelerating Exact Combinatorial Optimization via RL-based Initialization - A Case Study in Scheduling. Jiaqi Yin, Cunxi Yu |
| 2023 | Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory. Mengyuan Li, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu |
| 2023 | Accuracy-Preserving Reduction of Sparsified Reduced Power Grids with A Multilevel Node Aggregation Scheme. Zhiqiang Liu, Wenjian Yu |
| 2023 | Accurate Hybrid Delay Models for Dynamic Timing Analysis. Arman Ferdowsi, Ulrich Schmid, Josef Salzmann |
| 2023 | AlphaSyn: Logic Synthesis Optimization with Efficient Monte Carlo Tree Search. Zehua Pei, Fangzhou Liu, Zhuolun He, Guojin Chen, Haisheng Zheng, Keren Zhu, Bei Yu |
| 2023 | An Adversarial Active Sampling-Based Data Augmentation Framework for AI-Assisted Lithography Modeling. Mingjie Liu, Haoyu Yang, Brucek Khailany, Haoxing Ren |
| 2023 | An Anti-Removal-Attack Hardware Watermarking Method Based on Polymorphic Gates. Yongliang Chen, Xiaole Cui, Pengyuan Yang, Gang Qu |
| 2023 | An Energy-Efficient 3D Point Cloud Neural Network Accelerator With Efficient Filter Pruning, MLP Fusion, and Dual-Stream Sampling. Changchun Zhou, Yuzhe Fu, Min Liu, Siyuan Qiu, Ge Li, Yifan He, Hailong Jiao |
| 2023 | An Open-Source Constraints-Driven General Partitioning Multi-Tool for VLSI Physical Design. Ismail Bustany, Grigor Gasparyan, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang |
| 2023 | Analog or Digital In-Memory Computing? Benchmarking Through Quantitative Modeling. Jiacong Sun, Pouya Houshmand, Marian Verhelst |
| 2023 | Automated Hardware Trojan Detection at LUT Using Explainable Graph Neural Networks. Lingjuan Wu, Hao Su, Xuelin Zhang, Yu Tai, Han Li, Wei Hu |
| 2023 | Automated Synthesis for In-Memory Computing. Muhammad Rashedul Haq Rashed, Sven Thijssen, Sumit Kumar Jha, Rickard Ewetz |
| 2023 | Automatic Inductive Invariant Generation for Scalable Dataflow Circuit Verification. Jiahui Xu, Lana Josipovic |
| 2023 | Automatic Kernel Generation for Large Language Models on Deep Learning Accelerators. Fuyu Wang, Minghua Shen |
| 2023 | BOOST: Block Minifloat-Based On-Device CNN Training Accelerator with Transfer Learning. Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong, Cheng Zhuo |
| 2023 | BeKnight: Guarding Against Information Leakage in Speculatively Updated Branch Predictors. Md Hafizul Islam Chowdhuryy, Zhenkai Zhang, Fan Yao |
| 2023 | Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons. Florentia Afentaki, Gurol Saglam, Argyris Kokkinis, Kostas Siozios, Georgios Zervakis, Mehdi B. Tahoori |
| 2023 | Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification. Yang Ni, Hanning Chen, Prathyush Poduval, Zhuowen Zou, Pietro Mercati, Mohsen Imani |
| 2023 | CRYSTALS-Dilithium on RISC-V Processor: Lightweight Secure Boot Using Post-Quantum Digital Signature. Naina Gupta, Arpan Jati, Anupam Chattopadhyay |
| 2023 | Checkpoint Placement for Systematic Fault-Injection Campaigns. Christian Dietrich, Tim-Marek Thomas, Matthias Mnich |
| 2023 | Clock Aware Low Power Placement. Jinghao Ding, Linhao Lu, Zhaoqi Fu, Jie Ma, Mengshi Gong, Yuanrui Qi, Wenxin Yu |
| 2023 | ClusterNet: Routing Congestion Prediction and Optimization Using Netlist Clustering and Graph Neural Networks. Kyungjun Min, Seongbin Kwon, Sung-Yun Lee, Dohun Kim, Sunghye Park, Seokhyeong Kang |
| 2023 | Constant Coefficient Multipliers Using Self-Similarity-Based Hybrid Binary-Unary Computing. Alireza Khataei, Kia Bazargan |
| 2023 | DASALS: Differentiable Architecture Search-Driven Approximate Logic Synthesis. Xuan Wang, Zheyu Yan, Chang Meng, Yiyu Shi, Weikang Qian |
| 2023 | DLPlace: A Delay-Line Clocking-Based Placement Framework for AQFP Circuits. Rongliang Fu, Olivia Chen, Bei Yu, Nobuyuki Yoshikawa, Tsung-Yi Ho |
| 2023 | DOMINO: Domain-Invariant Hyperdimensional Classification for Multi-Sensor Time Series Data. Junyao Wang, Luke Chen, Mohammad Abdullah Al Faruque |
| 2023 | Data Recomputation for Multithreaded Applications. Gulsum Gudukbay Akbulut, Mahmut T. Kandemir, Mustafa Karaköy, Wonil Choi |
| 2023 | Deep-Learning Model Extraction Through Software-Based Power Side-Channel. Xiang Zhang, Aidong Adam Ding, Yunsi Fei |
| 2023 | DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs. Erjing Luo, Haitong Huang, Cheng Liu, Guoyu Li, Bing Yang, Ying Wang, Huawei Li, Xiaowei Li |
| 2023 | DeepGate2: Functionality-Aware Circuit Representation Learning. Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu |
| 2023 | Delay-Matching Routing for Advanced Packages. Chun-An Lee, Wen-Hao Liu, Gary Lin, Tsung-Yi Ho |
| 2023 | Design and Optimization of Low-Dropout Voltage Regulator Using Relational Graph Neural Network and Reinforcement Learning in Open-Source SKY130 Process. Zonghao Li, Anthony Chan Carusone |
| 2023 | Design and Technology Co-Optimization for Useful Skew Scheduling on Multi-Bit Flip-Flops. Suwan Kim, Taewhan Kim |
| 2023 | Distributionally Robust Circuit Design Optimization under Variation Shifts. Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang |
| 2023 | DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms. Yassine Ghannane, Mohamed S. Abdelfattah |
| 2023 | EDS-SLAM: An Energy-Efficient Accelerator for Real-Time Dense Stereo SLAM with Learned Feature Matching. Qian Huang, Gaoxing Shang, Yu Zhang, Gang Chen |
| 2023 | EMSim+: Accelerating Electromagnetic Security Evaluation with Generative Adversarial Network. Ya Gao, Haocheng Ma, Jindi Kong, Jiaji He, Yiqiang Zhao, Yier Jin |
| 2023 | EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan |
| 2023 | EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. Jianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan |
| 2023 | Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-Level Sparsity via Mixture-of-Experts. Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao |
| 2023 | Effective and Efficient Qubit Mapper. Hao Fu, Mingzheng Zhu, Jun Wu, Wei Xie, Zhaofeng Su, Xiang-Yang Li |
| 2023 | EffiSyn: Efficient Logic Synthesis with Dynamic Scoring and Pruning. Xing Li, Lei Chen, Jiantang Zhang, Shuang Wen, Weihua Sheng, Yu Huang, Mingxuan Yuan |
| 2023 | Efficient Formal Verification and Debugging of Arithmetic Divider Circuits. Jiteshri Dasari, Maciej J. Ciesielski |
| 2023 | Efficient Sampling and Grouping Acceleration for Point Cloud Deep Learning via Single Coordinate Comparison. Hyunsung Yoon, Jae-Joon Kim |
| 2023 | Exact Logic Synthesis for Reversible Quantum-Flux-Parametron Logic. Rongliang Fu, Olivia Chen, Nobuyuki Yoshikawa, Tsung-Yi Ho |
| 2023 | Exploration and Exploitation of Hidden PMU Events. Yihao Yang, Pengfei Qiu, Chunlu Wang, Yu Jin, Qiang Gao, Xiaoyong Li, Dongsheng Wang, Gang Qu |
| 2023 | Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study. Qiao Yu, Wengui Zhang, Jorge Cardoso, Odej Kao |
| 2023 | FET-OPU: A Flexible and Efficient FPGA-Based Overlay Processor for Transformer Networks. Yueyin Bai, Hao Zhou, Keqing Zhao, Hongji Wang, Jianli Chen, Jun Yu, Kun Wang |
| 2023 | FIONA: Photonic-Electronic CoSimulation Framework and Transferable Prototyping for Photonic Accelerator. Yinyi Liu, Bohan Hu, Zhenguo Liu, Peiyu Chen, Linfeng Du, Jiaqi Liu, Xianbin Li, Wei Zhang, Jiang Xu |
| 2023 | FLEX: Introducing FLEXible Execution on CGRA with Spatio-Temporal Vector Dataflow. Thilini Kaushalya Bandara, Dan Wu, Rohan Juneja, Dhananjaya Wijerathne, Tulika Mitra, Li-Shiuan Peh |
| 2023 | Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang |
| 2023 | Fast Exact NPN Classification with Influence-Aided Canonical Form. Yonghe Zhang, Liwei Ni, Jiaxi Zhang, Guojie Luo, Huawei Li, Shenggen Zheng |
| 2023 | Fast Full-Chip Parametric Thermal Analysis Based on Enhanced Physics Enforced Neural Networks. Liang Chen, Jincong Lu, Wentian Jin, Sheldon X.-D. Tan |
| 2023 | Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models. Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin, Yanzhi Wang |
| 2023 | Fast and Scalable Gate-Level Simulation in Massively Parallel Systems. Haichuan Hu, Zichen Xu, Yuhao Wang, Fangming Liu |
| 2023 | Floorplanning for Embedded Multi-Die Interconnect Bridge Packages. Chung-Chia Lee, Yao-Wen Chang |
| 2023 | Frequency-Domain Transient Electromigration Analysis Using Circuit Theory. Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Nestoras E. Evmorfopoulos, Sachin S. Sapatnekar |
| 2023 | FuNToM: Functional Modeling of RF Circuits Using a Neural Network Assisted Two-Port Analysis Method. Morteza Fayazi, Morteza Tavakoli Taba, Amirata Tabatabavakili, Ehsan Afshari, Ronald G. Dreslinski |
| 2023 | Full State Quantum Circuit Simulation Beyond Memory Limit. Yilun Zhao, Yu Chen, He Li, Ying Wang, Kaiyan Chang, Bingmeng Wang, Bing Li, Yinhe Han |
| 2023 | GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. Yonggan Fu, Yongan Zhang, Zhongzhi Yu, Sixu Li, Zhifan Ye, Chaojian Li, Cheng Wan, Yingyan Celine Lin |
| 2023 | GRAFT: Graph-Assisted Reinforcement Learning for Automated SSD Firmware Testing. Yoon Hyeok Lee, Youngmin Oh, Gyohun Jeong, Mingyu Pi, Hyukil Kwon, Hakyoung Lim, Eungchae Kim, Sunghee Lee, Bosun Hwang |
| 2023 | GraPhSyM: Graph Physical Synthesis Model. Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro |
| 2023 | HAPIC: A Scalable, Lightweight and Reactive Cache for Persistent-Memory-Based Index. Chih-Ting Lo, Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo |
| 2023 | HF-Dedupe: Hierarchical Fingerprint Scheme for High Efficiency Data Deduplication on Flash-based Storage Systems. Kai-Ting Weng, Yun-Shan Hsieh, Yen-Ting Chen, Yu-Pei Liang, Yuan-Hao Chang, Po-Chun Huang, Wei-Kuan Shih |
| 2023 | Handling Orientation and Aspect Ratio of Modules in Electrostatics-Based Large Scale Fixed-Outline Floorplanning. Fuxing Huang, Duanxiang Liu, Xingquan Li, Bei Yu, Wenxing Zhu |
| 2023 | HidFix: Efficient Mitigation of Cache-Based Spectre Attacks Through Hidden Rollbacks. Arash Pashrashid, Ali Hajiabadi, Trevor E. Carlson |
| 2023 | HyPlace-3D: A Hybrid Placement Approach for 3D ICs Using Space Transformation Technique. Jai-Ming Lin, Yu-Chien Lin, Hsuan Kung, Wei-Yuan Lin |
| 2023 | HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing. Haomin Li, Fangxin Liu, Yichi Chen, Li Jiang |
| 2023 | Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service. Jaewoo Park, Chenghao Quan, Hyungon Moon, Jongeun Lee |
| 2023 | IEEE/ACM International Conference on Computer Aided Design, ICCAD 2023, San Francisco, CA, USA, October 28 - Nov. 2, 2023 |
| 2023 | IIBLAST: Speeding Up Commercial FPGA Routing by Decoupling and Mitigating the Intra-CLB Bottleneck. Shashwat Shrivastava, Stefan Nikolic, Chirag Ravishankar, Dinesh Gaitonde, Mirjana Stojilovic |
| 2023 | INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing. Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao |
| 2023 | IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration. Ziyang Yu, Chen Bai, Shoubo Hu, Ran Chen, Taohai He, Mingxuan Yuan, Bei Yu, Martin D. F. Wong |
| 2023 | Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators Through Training with Right-Censored Gaussian Noise. Zheyu Yan, Yifan Qin, Wujie Wen, Xiaobo Sharon Hu, Yiyu Shi |
| 2023 | Integrating Exact Simulation into Sweeping for Datapath Combinational Equivalence Checking. Zhihan Chen, Xindi Zhang, Yuhang Qian, Qiang Xu, Shaowei Cai |
| 2023 | Invited Paper: 2023 ICCAD CAD Contest Problem A: Multi-Bit Large-Scale Boolean Matching. Chung-Han Chou, Chih-Jen (Jacky) Hsu, Chi-An (Rocky) Wu, Kuan-Hua Tu, Kei-Yong Khoo |
| 2023 | Invited Paper: 2023 ICCAD CAD Contest Problem B: 3D Placement with Macros. Kai-Shun Hu, Hao-Yu Chi, I-Jye Lin, Yi-Hsuan Wu, Wei-Hsu Chen, Yi-Ting Hsieh |
| 2023 | Invited Paper: 2023 ICCAD CAD Contest Problem C: Static IR Drop Estimation Using Machine Learning. Gana Surya Prakash Kadagala, Vidya A. Chhabria |
| 2023 | Invited Paper: A Scalable Hardware/Software Co-Design Approach for Efficient Polynomial Multiplication. Lóránt Meszlényi, Elif Bilge Kavun, Irem Keskinkurt Paksoy, Avesha Khalid, Tolga Yalçin |
| 2023 | Invited Paper: Accelerating Next-G Wireless Communications with FPGA-Based AI Accelerators. Chunxiao Lin, Muhammad Farhan Azmine, Yang Yi |
| 2023 | Invited Paper: Accelerating Routability and Timing Optimization with Open-Source AI4EDA Dataset CircuitNet and Heterogeneous Platforms. Xun Jiang, Zizheng Guo, Zhuomin Chai, Yuxiang Zhao, Yibo Lin, Runsheng Wang, Ru Huang |
| 2023 | Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge. Ann Franchesca Laguna, Mohammad Mehdi Sharifi, Dayane Reis, Liu Liu, Andrew Hennessee, Clayton O'Dell, Ian O'Connor, Michael T. Niemier, X. Sharon Hu |
| 2023 | Invited Paper: CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization. Rongjian Liang, Anthony Agnesina, Geraldo Pradipta, Vidya A. Chhabria, Haoxing Ren |
| 2023 | Invited Paper: Dilithium Hardware-Accelerated Application Using OpenCL-Based High-Level Synthesis. Alexander El-Kady, Apostolos P. Fournaris, Vassilis Paliouras |
| 2023 | Invited Paper: Heterogeneous Acceleration for Design Rule Checking. Zhuolun He, Bei Yu |
| 2023 | Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. Hamza Errahmouni Barkam, SungHeon Evan Jeong, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani |
| 2023 | Invited Paper: IEEE CEDA DATC Emerging Foundations in IC Physical Design and MLCAD Research. Jinwook Jung, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Dooseok Yoon |
| 2023 | Invited Paper: In-Sensor Radio Frequency Computing for Energy-Efficient Intelligent Radar. Yang Sui, Minning Zhu, Lingyi Huang, Chung-Tse Michael Wu, Bo Yuan |
| 2023 | Invited Paper: Instruction Set Extensions for Post-Quantum Cryptography. Marco Brohet, Felipe Valencia, Francesco Regazzoni |
| 2023 | Invited Paper: Introduction to Hybrid Quantum-Classical Programming Using C++ Quantum Extension. Xin-Chuan Wu, Shavindra P. Premaratne, Kevin Rasch |
| 2023 | Invited Paper: Learned In-Sensor Visual Computing: From Compression to Eventification. Yu Feng, Tianrui Ma, Adith Boloor, Yuhao Zhu, Xuan Zhang |
| 2023 | Invited Paper: Machine Learning Based Blind Side-Channel Attacks on PQC-Based KEMs - A Case Study of Kyber KEM. Prasanna Ravi, Dirmanto Jap, Shivam Bhasin, Anupam Chattopadhyay |
| 2023 | Invited Paper: Overview of 2023 CAD Contest at ICCAD. Takashi Sato, Chun-Yao Wang, Yu-Guang Chen, Tsung-Wei Huang |
| 2023 | Invited Paper: Programming Dynamic Task Parallelism for Heterogeneous EDA Algorithms. Cheng-Hsiang Chiu, Dian-Lun Lin, Tsung-Wei Huang |
| 2023 | Invited Paper: RapidWright: Unleashing the Full Power of FPGA Technology with Domain-Specific Tooling. Chris Lavin, Eddie Hung |
| 2023 | Invited Paper: Solving Fine-Grained Static 3DIC Thermal with ML Thermal Solver Enhanced with Decay Curve Characterization. Haiyang He, Norman Chang, Jie Yang, Akhilesh Kumar, Wenbo Xia, Lang Lin, Rishikesh Ranade |
| 2023 | Invited Paper: The Inevitability of AI Infusion Into Design Closure and Signoff. Jiang Hu, Andrew B. Kahng |
| 2023 | Invited Paper: Towards the Efficiency, Heterogeneity, and Robustness of Edge AI. Bokyung Kim, Zhixu Du, Jingwei Sun, Yiran Chen |
| 2023 | Invited Paper: Towards the Imagenets of ML4EDA. Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg |
| 2023 | Invited Paper: Ultra-Efficient Edge AI Using FeFET-based Monolithic 3D Integration. Shubham Kumar, Yogesh Singh Chauhan, Hussam Amrouch |
| 2023 | Invited Paper: Unleashing the Potential of Machine Learning: Harnessing the Dynamics of Supply Noise for Timing Sign-Off. Yufei Chen, Xiao Dong, Wei-Kai Shih, Cheng Zhuo |
| 2023 | Invited Paper: Verilog-to-PyG - A Framework for Graph Learning and Augmentation on RTL Designs. Yingjie Li, Mingju Liu, Alan Mishchenko, Cunxi Yu |
| 2023 | Invited Paper: VerilogEval: Evaluating Large Language Models for Verilog Code Generation. Mingjie Liu, Nathaniel Ross Pinckney, Brucek Khailany, Haoxing Ren |
| 2023 | Kernel Shape Control for Row-Efficient Convolution on Processing-In-Memory Arrays. Johnny Rhe, Kang Eun Jeon, Joo Chan Lee, Seongmoon Jeong, Jong Hwan Ko |
| 2023 | Klotski: DNN Model Orchestration Framework for Dataflow Architecture Accelerators. Chen Bai, Xuechao Wei, Youwei Zhuo, Yi Cai, Hongzhong Zheng, Bei Yu, Yuan Xie |
| 2023 | KyberMat: Efficient Accelerator for Matrix-Vector Polynomial Multiplication in CRYSTALS-Kyber Scheme via NTT and Polyphase Decomposition. Weihang Tan, Yingjie Lao, Keshab K. Parhi |
| 2023 | LFPS: Learned Formal Proof Strengthening for Efficient Hardware Verification. Minwoo Kang, Azade Nova, Eshan Singh, Geetheeka Sharron Bathini, Yuriy Viktorov |
| 2023 | LIM-GEN: A Data-Guided Framework for Automated Generation of Heterogeneous Logic-in-Memory Architecture. Libo Shen, Boyu Long, Rui Liu, Xiaoyu Zhang, Yinhe Han, Xiaoming Chen |
| 2023 | LIORAT: NN Layer I/O Range Training for Area/Energy-Efficient Low-Bit A/D Conversion System Design in Error-Tolerant Computation-in-Memory. Ayumu Yamada, Naoko Misawa, Chihiro Matsui, Ken Takeuchi |
| 2023 | Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction. Su Zheng, Lancheng Zou, Peng Xu, Siting Liu, Bei Yu, Martin D. F. Wong |
| 2023 | Local Layout Effect-Aware Static Timing Analysis by use of a New Sensitivity-Based Library. Juyeon Kim, Changho Han, Cheoljun Bae, Yoobeom Kim, Jae Hoon Kim, Hyungjung Seo |
| 2023 | Lowering Latency of Embedded Memory by Exploiting In-Cell Victim Cache Hierarchy Based on Emerging Multi-Level Memory Devices. Juejian Wu, Tianyu Liao, Taixin Li, Yixin Xu, Vijaykrishnan Narayanan, Yongpan Liu, Huazhong Yang, Xueqing Li |
| 2023 | MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. Yushu Wu, Yifan Gong, Zheng Zhan, Geng Yuan, Yanyu Li, Qi Wang, Chao Wu, Yanzhi Wang |
| 2023 | MU-MIMO Detection Using Oscillator Ising Machines. Shreesha Sreedhara, Jaijeet Roychowdhury, Joachim Wabnig, Pavan Koteshwar Srinath |
| 2023 | MapBuf: Simultaneous Technology Mapping and Buffer Insertion for HLS Performance Optimization. Hanyu Wang, Carmine Rizzi, Lana Josipovic |
| 2023 | MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design. Wenji Fang, Yao Lu, Shang Liu, Qijun Zhang, Ceyu Xu, Lisa Wu Wills, Hongce Zhang, Zhiyao Xie |
| 2023 | Meltrix: A RRAM-Based Polymorphic Architecture Enhanced by Function Synthesis. Boyu Long, Libo Shen, Xiaoyu Zhang, Yinhe Han, Xian-He Sun, Xiaoming Chen |
| 2023 | Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang |
| 2023 | MiniTNtk: An Exact Synthesis-based Method for Minimizing Transistor Network. Weihua Xiao, Shanshan Han, Yue Yang, Shaoze Yang, Cheng Zheng, Jingsong Chen, Tingyuan Liang, Lei Li, Weikang Qian |
| 2023 | MirrorNet: A TEE-Friendly Framework for Secure On-Device DNN Inference. Ziyu Liu, Yukui Luo, Shijin Duan, Tong Zhou, Xiaolin Xu |
| 2023 | Monad: Towards Cost-Effective Specialization for Chiplet-Based Spatial Accelerators. Xiaochen Hao, Zijian Ding, Jieming Yin, Yuan Wang, Yun Liang |
| 2023 | Multi-Objective Architecture Search and Optimization for Heterogeneous Neuromorphic Architecture. Juseong Park, Yongwon Shin, Hyojin Sung |
| 2023 | Multi-Product Optimization for 3D Heterogeneous Integration with D2W Bonding. Zhen Zhuang, Kai-Yuan Chao, Bei Yu, Tsung-Yi Ho, Martin D. F. Wong |
| 2023 | Multi-Task Evolutionary to PVT Knowledge Transfer for Analog Integrated Circuit Optimization. Jintao Li, Haochang Zhi, Weiwei Shan, Yongfu Li, Yanhan Zeng, Yun Li |
| 2023 | NearUni: Near-Unitary Training for Efficient Optical Neural Networks. Amro Eldebiky, Bing Li, Grace Li Zhang |
| 2023 | NeuroEscape: Ordered Escape Routing via Monte-Carlo Tree Search and Neural Network. Zhiyang Chen, Tsung-Yi Ho, Ulf Schlichtmann, Datao Chen, Mingyu Liu, Hailong Yao, Xia Yin |
| 2023 | OPT: Optimal Proposal Transfer for Efficient Yield Optimization for Analog and SRAM Circuits. Yanfang Liu, Guohao Dai, Yuanqing Cheng, Wang Kang, Wei W. Xing |
| 2023 | One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers. Sriram Ravula, Varun Gorti, Bo Deng, Swagato Chakraborty, James Pingenot, Bhyrav Mutnury, Douglas Wallace, Douglas Winterberg, Adam R. Klivans, Alexandros G. Dimakis |
| 2023 | Optimal Layout Synthesis for Quantum Circuits as Classical Planning. Irfansha Shaik, Jaco van de Pol |
| 2023 | Optimizing LUT-Based Quantum Circuit Synthesis Using Relative Phase Boolean Operations. David Clarino, Naoya Asada, Shigeru Yamashita |
| 2023 | PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions. Qijun Zhang, Shiyu Li, Guanglei Zhou, Jingyu Pan, Chen-Chia Chang, Yiran Chen, Zhiyao Xie |
| 2023 | PBA: Percentile-Based Level Allocation for Multiple-Bits-Per-Cell RRAM. Anjiang Wei, Akash Levy, Pu Yi, Robert M. Radway, Priyanka Raina, Subhasish Mitra, Sara Achour |
| 2023 | PDNSig: Identifying Multi-Tenant Cloud FPGAs with Power Distribution Network-Based Signatures. Huifeng Zhu, Weidong Cao, Xuan Zhang |
| 2023 | PP-Transformer: Enable Efficient Deployment of Transformers Through Pattern Pruning. Jialin Cao, Xuanda Lin, Manting Zhang, Kejia Shi, Jun Yu, Kun Wang |
| 2023 | PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads. Jaehoon Heo, Yongwon Shin, Sangjin Choi, Sungwoong Yune, Jung-Hoon Kim, Hyojin Sung, Youngjin Kwon, Joo-Young Kim |
| 2023 | PSOFuzz: Fuzzing Processors with Particle Swarm Optimization. Chen Chen, Vasudev Gohil, Rahul Kande, Ahmad-Reza Sadeghi, Jeyavijayan Rajendran |
| 2023 | Path-Based Processing using In-Memory Systolic Arrays for Accelerating Data-Intensive Applications. Muhammad Rashedul Haq Rashed, Sven Thijssen, Sumit Kumar Jha, Hao Zheng, Rickard Ewetz |
| 2023 | PostPINN-EM: Fast Post-Voiding Electromigration Analysis Using Two-Stage Physics-Informed Neural Networks. Subed Lamichhane, Wentian Jin, Liang Chen, Mohammadamir Kavousi, Sheldon X.-D. Tan |
| 2023 | Power Distribution Network Optimization Using HLA-GCN for Routability Enhancement. Younggwang Jung, Daijoon Hyun, Soyoon Choi, Youngsoo Shin |
| 2023 | Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits. Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2023 | Practical Layout-Aware Analog/Mixed-Signal Design Automation with Bayesian Neural Networks. Ahmet Faruk Budak, Keren Zhu, David Z. Pan |
| 2023 | Protection Against Physical Attacks Through Self-Destructive Polymorphic Latch. Andrew Cannon, Tasnuva Farheen, Sourav Roy, Shahin Tajik, Domenic Forte |
| 2023 | QPulseLib: Accelerating the Pulse Generation of Quantum Circuit with Reusable Patterns. Wuwei Tian, Xinghui Jia, Siwei Tan, Zixuan Song, Liqiang Lu, Jianwei Yin |
| 2023 | READ: Reliability-Enhanced Accelerator Dataflow Optimization Using Critical Input Pattern Reduction. Zuodong Zhang, Renjie Wei, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang |
| 2023 | RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference. Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A. Beerel |
| 2023 | RONet: Scaling GPU System with Silicon Photonic Chiplet. Chengeng Li, Fan Jiang, Shixi Chen, Xianbin Li, Yinyi Liu, Lin Chen, Xiao Li, Jiang Xu |
| 2023 | Rapid-INR: Storage Efficient CPU-Free DNN Training Using Implicit Neural Representation. Hanqiu Chen, Hang Yang, Stephen B. R. Fitzmeyer, Cong Hao |
| 2023 | Real-time Thermal Map Estimation for AMD Multi-Core CPUs Using Transformer. Jincong Lu, Jinwei Zhang, Sheldon X.-D. Tan |
| 2023 | Reflections on Trusting TrustHUB. Christian Krieg |
| 2023 | Reliable Hyperdimensional Reasoning on Unreliable Emerging Technologies. Hamza Errahmouni Barkam, Sanggeon Yun, Hanning Chen, Paul Gensler, Albi Mema, Andrew Ding, George Michelogiannakis, Hussam Amrouch, Mohsen Imani |
| 2023 | Risk Propagation Based Vector Profiling for High Coverage Dynamic IR-Drop Analysis. Yihan Wen, Juan Li, Xiaoyi Wang |
| 2023 | Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection. Rahul Vishwakarma, Amin Rezaei |
| 2023 | Robust GNN-Based Representation Learning for HLS. Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong |
| 2023 | Routability Prediction and Optimization Using Explainable AI. SeongHyeon Park, Daeyeon Kim, Seongbin Kwon, Seokhyeong Kang |
| 2023 | Routability-Driven Orientation-Aware Analytical Placement for System in Package. Jai-Ming Lin, Tsung-Chun Tsai, Rui-Ting Shen |
| 2023 | Runtime Row/Column Activation Pruning for ReRAM-based Processing-in-Memory DNN Accelerators. Xikun Jiang, Zhaoyan Shen, Siqing Sun, Ping Yin, Zhiping Jia, Lei Ju, Zhiyong Zhang, Dongxiao Yu |
| 2023 | SAGA: Sparsity-Agnostic Graph Convolutional Network Acceleration with Near-Optimal Workload Balance. Sanjay Gandham, Lingxiang Yin, Hao Zheng, Mingjie Lin |
| 2023 | SAM: A Scalable Accelerator for Number Theoretic Transform Using Multi-Dimensional Decomposition. Cheng Wang, Mingyu Gao |
| 2023 | SATformer: Transformer-Based UNSAT Core Learning. Zhengyuan Shi, Min Li, Yi Liu, Sadaf Khan, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu |
| 2023 | SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin |
| 2023 | SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference. Wenxun Wang, Shuchang Zhou, Wenyu Sun, Peiqin Sun, Yongpan Liu |
| 2023 | SSDe: FPGA-Based SSD Express Emulation Framework. Yizhen Lu, Luyang Yu, Deming Chen |
| 2023 | Secure-by-Construction Design Methodology for CPUs: Implementing Secure Speculation on the RTL. Tobias Jauch, Alex Wezel, Mohammad Rahmani Fadiheh, Philipp Schmitz, Sayak Ray, Jason M. Fung, Christopher W. Fletcher, Dominik Stoffel, Wolfgang Kunz |
| 2023 | Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification. Jialin Liu, Houman Homayoun, Chongzhou Fang, Ning Miao, Han Wang |
| 2023 | Single-Qubit Gates Matter for Optimising Quantum Circuit Depth in Qubit Mapping. Sanjiang Li, Ky Dan Nguyen, Zachary Clare, Yuan Feng |
| 2023 | SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He |
| 2023 | Spacing Cost-aware Optimal and Efficient Mixed-Cell-Height Detailed Placement for DFM Considerations. Da-Wei Huang, Ying-Jie Jiang, Shao-Yun Fang |
| 2023 | Sphinx: A Hybrid Boolean Processor-FPGA Hardware Emulation System. Ruiyao Pu, Yiwei Sun, Pei-Hsin Ho, Fan Yang, Li Shang, Xuan Zeng |
| 2023 | Striving for Both Quality and Speed: Logic Synthesis for Practical Garbled Circuits. Mingfei Yu, Giovanni De Micheli |
| 2023 | Stronger Mixed-Size Placement Backbone Considering Second-Order Information. Yifan Chen, Zaiwen Wen, Yun Liang, Yibo Lin |
| 2023 | SurgeFuzz: Surge-Aware Directed Fuzzing for CPU Designs. Yuichi Sugiyama, Reoma Matsuo, Ryota Shioya |
| 2023 | SystemC Model of Power Side-Channel Attacks Against AI Accelerators: Superstition or not? Andrija Neskovic, Saleh Mulhem, Alexander Treff, Rainer Buchty, Thomas Eisenbarth, Mladen Berekovic |
| 2023 | Systolic Array Placement on FPGAs. Hailiang Hu, Donghao Fang, Wuxi Li, Bo Yuan, Jiang Hu |
| 2023 | THE-V: Verifiable Privacy-Preserving Neural Network via Trusted Homomorphic Execution. Yuntao Wei, Xueyan Wang, Song Bian, Weisheng Zhao, Yier Jin |
| 2023 | TL-nvSRAM-CIM: Ultra-High-Density Three-Level ReRAM-Assisted Computing-in-nvSRAM with DC-Power Free Restore and Ternary MAC Operations. Dengfeng Wang, Liukai Xu, Songyuan Liu, Zhi Li, Yiming Chen, Weifeng He, Xueqing Li, Yanan Sun |
| 2023 | TRAIN: A Reinforcement Learning Based Timing-Aware Neural Inference on Intermittent Systems. Shu-Ting Cheng, Wen Sheng Lim, Chia-Heng Tu, Yuan-Hao Chang |
| 2023 | TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency. Jun Liu, Guohao Dai, Hao Xia, Lidong Guo, Xiangsheng Shi, Jiaming Xu, Huazhong Yang, Yu Wang |
| 2023 | TaintFuzzer: SoC Security Verification using Taint Inference-enabled Fuzzing. Muhammad Monir Hossain, Nusrat Farzana Dipu, Kimia Zamiri Azar, Fahim Rahman, Farimah Farahmandi, Mark Tehranipoor |
| 2023 | Technology Mapping Using Multi-Output Library Cells. Alessandro Tempia Calvino, Giovanni De Micheli |
| 2023 | Thermally-Aware Multi-Core Chiplet Stacking. Gaurav Kothari, Kanad Ghose |
| 2023 | Towards Effective Training of Robust Spiking Recurrent Neural Networks Under General Input Noise via Provable Analysis. Wendong Zheng, Yu Zhou, Gang Chen, Zonghua Gu, Kai Huang |
| 2023 | Towards Timing-Driven Routing: An Efficient Learning Based Geometric Approach. Liying Yang, Guowei Sun, Hu Ding |
| 2023 | VECOM: Variation-Resilient Encoding and Offset Compensation Schemes for Reliable ReRAM-Based DNN Accelerator. Je-Woo Jang, Thai-Hoang Nguyen, Joon-Sung Yang |
| 2023 | VecPAC: A Vectorizable and Precision-Aware CGRA. Cheng Tan, Deepak Patil, Antonino Tumeo, Gabriel Weisz, Steven K. Reinhardt, Jeff Zhang |
| 2023 | Verification of Flow-Based Computing Systems Using Bounded Model Checking. Sven Thijssen, Suraj Singireddy, Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz |
| 2023 | WolFEx: Word-Level Function Extraction and Simplification from Gate-Level Arithmetic Circuits. Kuo-Wei Ho, Shao-Ting Chung, Tian-Fu Chen, Yu-Wei Fan, Che Cheng, Cheng-Han Liu, Jie-Hong R. Jiang |
| 2023 | Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique |
| 2023 | iPL-3D: A Novel Bilevel Programming Model for Die-to-Die Placement. Xueyan Zhao, Shijian Chen, Yihang Qiu, Jiangkao Li, Zhipeng Huang, Biwei Xie, Xingquan Li, Yungang Bao |