| 2024 | ChatOPU: An FPGA-based Overlay Processor for Large Language Models with Unstructured Sparsity. | Tiandong Zhao, Shaoqiang Lu, Chen Wu, Lei He |
| 2024 | HeLEM-GR: Heterogeneous Global Routing with Linearized Exponential Multiplier Method. | Chunyuan Zhao, Zizheng Guo, Rui Wang, Zaiwen Wen, Yun Liang, Yibo Lin |
| 2024 | A Sparsity-Aware Autonomous Path Planning Accelerator with Algorithm-Architecture Co-Design. | Yanjun Zhang, Xiaoyu Niu, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang |
| 2024 | MatFactory: A Framework for High-Performance Matrix Factorization on FPGAs. | Mingzhe Zhang, Xiaochen Hao, Hongbo Rong, Wenguang Chen |
| 2024 | LAG-Sizer: A Novel Gate Sizer Based on Leak Generative Adversarial Network with Feature Fusion. | Zhanhua Zhang, Wenjie Ding, Guoqing He, Peng Cao |
| 2024 | PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation. | Wenlun Zhang, Shimpei Ando, Yung-Chin Chen, Satomi Miyagi, Shinya Takamaeda-Yamazaki, Kentaro Yoshioka |
| 2024 | Automatic Generation of Cycle-Accurate Timing Models from RTL for Hardware Accelerators. | Yu Zeng, Aarti Gupta, Sharad Malik |
| 2024 | Potter: A Parallel Overlap-Tolerant Router for UltraScale FPGAs. | Xinshi Zang, Wenhao Lin, Jinwei Liu, Evangeline F. Y. Young |
| 2024 | FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference. | Jiangrui Yu, Wenxuan Zeng, Tianshi Xu, Renze Chen, Yun Liang, Runsheng Wang, Ru Huang, Meng Li |
| 2024 | GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning. | Yongbo Yu, Fuxun Yu, Zhi Tian, Xiang Chen |
| 2024 | AESHA: Accelerating Eigen-decomposition-based Sparse Transformer with Hybrid RRAM-SRAM Architecture. | Xuliang Yu, Tianwei Ni, Xinsong Sheng, Yun Pan, Lei He, Liang Zhao |
| 2024 | Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts. | Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Haoyu Yang, Rongjian Liang, Haoxing Ren, Yingyan Celine Lin |
| 2024 | Accelerating Fault Injection for Validating Processor RTL Implementations. | Yi Yuan, Derek Chiou |
| 2024 | SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution. | Ziang Yin, Nicholas Gangi, Meng Zhang, Jeff Zhang, Z. Rena Huang, Jiaqi Gu |
| 2024 | ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models. | Yuxuan Yin, Yu Wang, Boxun Xu, Peng Li |
| 2024 | Leda: Leveraging Tiling Dataflow to Accelerate SpMM on HBM-Equipped FPGAs for GNNs. | Enxin Yi, Jiarui Bai, Yijie Nie, Dan Niu, Zhou Jin, Weifeng Liu |
| 2024 | RTLRewriter: Methodologies for Large Models aided RTL Code Optimization. | Xufeng Yao, Yiwen Wang, Xing Li, Yingzhao Lian, Ran Chen, Lei Chen, Mingxuan Yuan, Hong Xu, Bei Yu |
| 2024 | Multi-Objective Software-Hardware Co-Optimization for HD-PIM via Noise-Aware Bayesian Optimization. | Chien-Yi Yang, Minxuan Zhou, Flavio Ponzina, Suraj Sathya Prakash, Raid Ayoub, Pietro Mercati, Mahesh Subedar, Tajana Rosing |
| 2024 | 2024 ICCAD CAD Contest Problem B: Power and Timing Optimization Using Multibit Flip-Flop. | Sheng-Wei Yang, Jhih-Wei Hsu, Ting-Wei Lee, Tzu-Hsuan Chen, Cindy Chin-Fang Shen |
| 2024 | Enforcing hard constraints in physics-informed learning for transient TSV electromigration analysis. | Xiaoman Yang, Hai-Bao Chen, Wenjie Zhu, Yuhan Zhang, Yongkang Xue, Pengpeng Ren, Runsheng Wang, Zhigang Ji, Ru Huang |
| 2024 | MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. | Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li |
| 2024 | PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. | Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li |
| 2024 | RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization. | Peng Xu, Su Zheng, Yuyang Ye, Chen Bai, Siyuan Xu, Hao Geng, Tsung-Yi Ho, Bei Yu |
| 2024 | MEIC: Re-thinking RTL Debug Automation using LLMs. | Ke Xu, Jialin Sun, Yuchen Hu, Xinwei Fang, Weiwei Shan, Xi Wang, Zhe Jiang |
| 2024 | Spiking Transformer Hardware Accelerators in 3D Integration. | Boxun Xu, Junyoung Hwang, Pruek Vanna-Iampikul, Sung Kyu Lim, Peng Li |