| 2024 | Nested Dissection Based Parallel Transient Power Grid Analysis on Public Cloud Virtual Machines. | Jiawen Cheng, Zhiqiang Liu, Lingjie Li, Wenjian Yu |
| 2024 | OSA-HCIM: On-The-Fly Saliency-Aware Hybrid SRAM CIM with Dynamic Precision Configuration. | Yung-Chin Chen, Shimpei Ando, Daichi Fujiki, Shinya Takamaeda-Yamazaki, Kentaro Yoshioka |
| 2024 | Bridge-NDP: Achieving Efficient Communication-Computation Overlap in Near Data Processing with Bridge Architecture. | Liyan Chen, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing |
| 2024 | A Fast Test Compaction Method for Commercial DFT Flow Using Dedicated Pure-MaxSAT Solver. | Zhiteng Chao, Xindi Zhang, Junying Huang, Jing Ye, Shaowei Cai, Huawei Li, Xiaowei Li |
| 2024 | Bridging the Design Methodologies of Burst-Mode Specifications and Signal Transition Graphs. | Alex Chan, Danil Sokolov, Victor Khomenko, Alex Yakovlev |
| 2024 | BFP-CIM: Data-Free Quantization with Dynamic Block-Floating-Point Arithmetic for Energy-Efficient Computing-In-Memory-based Accelerator. | Cheng-Yang Chang, Chi-Tse Huang, Yu-Chuan Chuang, Kuang-Chao Chou, An-Yeu Andy Wu |
| 2024 | ISOP-Yield: Yield-Aware Stack-Up Optimization for Advanced Package using Machine Learning. | Hyunsu Chae, Keren Zhu, Bhyrav Mutnury, Zixuan Jiang, Daniel De Araujo, Douglas Wallace, Douglas Winterberg, Adam R. Klivans, David Z. Pan |
| 2024 | Signed Convolution in Photonics with Phase-Change Materials using Mixed-Polarity Bitstreams. | Raphael Cardoso, Clment Zrounba, Mohab Abdalla, Paul Jimnez, Mauricio Gomes de Queiroz, Benot Charbonnier, Fabio Pavanello, Ian O'Connor, Sbastien Le Beux |
| 2024 | Algebraic and Boolean Methods for SFQ Superconducting Circuits. | Alessandro Tempia Calvino, Giovanni De Micheli |
| 2024 | Adaptive Control-Logic Routing for Fully Programmable Valve Array Biochips Using Deep Reinforcement Learning. | Huayang Cai, Genggeng Liu, Wenzhong Guo, Zipeng Li, Tsung-Yi Ho, Xing Huang |
| 2024 | Towards Multiphase Clocking in Single-Flux Quantum Systems. | Rassul Bairamkulov, Giovanni De Micheli |
| 2024 | PIONEER: Highly Efficient and Accurate Hyperdimensional Computing using Learned Projection. | Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli |
| 2024 | Run-time Non-uniform Quantization for Dynamic Neural Networks in Wireless Communication. | Priscilla Sharon Allwin, Manil Dev Gomony, Marc Geilen |
| 2024 | Multiplierless Design of High-Speed Very Large Constant Multiplications. | Levent Aksoy, Debapriya Basu Roy, Malik Imran, Samuel Pagliarini |
| 2024 | LIPSTICK: Corruptibility-Aware and Explainable Graph Neural Network-based Oracle-Less Attack on Logic Locking. | Yeganeh Aghamohammadi, Amin Rezaei |
| 2024 | An Efficient Branch-and-Bound Routing Algorithm for Optical NoCs. | Yihao Liu, Yaoyao Ye |
| 2024 | Meeting Job-Level Dependencies by Task Merging. | Matthias Becker |
| 2024 | Machine Learning and GPU Accelerated Sparse Linear Solvers for Transistor-Level Circuit Simulation: A Perspective Survey (Invited Paper). | Zhou Jin, Wenhao Li, Yinuo Bai, Tengcheng Wang, Yicheng Lu, Weifeng Liu |
| 2023 | Multi-Wavelength Parallel Training and Quantization-Aware Tuning for WDM-Based Optical Convolutional Neural Networks Considering Wavelength-Relative Deviations. | Ying Zhu, Min Liu, Lu Xu, Lei Wang, Xi Xiao, Shaohua Yu |
| 2023 | Area-Driven FPGA Logic Synthesis Using Reinforcement Learning. | Guanglei Zhou, Jason Helge Anderson |
| 2023 | An Integrated Circuit Partitioning and TDM Assignment Optimization Framework for Multi-FPGA Systems. | Dan Zheng, Evangeline F. Y. Young |
| 2023 | Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. | Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao |
| 2023 | ViraEye: An Energy-Efficient Stereo Vision Accelerator with Binary Neural Network in 55 nm CMOS. | Yu Zhang, Gang Chen, Tao He, Qian Huang, Kai Huang |
| 2023 | Microarchitecture Power Modeling via Artificial Neural Network and Transfer Learning. | Jianwang Zhai, Yici Cai, Bei Yu |
| 2023 | PAALM: Power Density Aware Approximate Logarithmic Multiplier Design. | Shuyuan Yu, Sheldon X.-D. Tan |