| 2024 | Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control. | Zhiyu An, Xianzhong Ding, Wan Du |
| 2024 | AdvHunter: Detecting Adversarial Perturbations in Black-Box Neural Networks through Hardware Performance Counters. | Manaar Alam, Michail Maniatakos |
| 2024 | Using Probabilistic Model Rollouts to Boost the Sample Efficiency of Reinforcement Learning for Automated Analog Circuit Sizing. | Mohsen Ahmadzadeh, Georges G. E. Gielen |
| 2024 | Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS. | Afzal Ahmad, Linfeng Du, Zhiyao Xie, Wei Zhang |
| 2024 | inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition. | Ali Aghdaei, Zhuo Feng |
| 2024 | Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision. | Ahmed F. AbouElhamayed, Susanne Balle, Deshanand P. Singh, Mohamed S. Abdelfattah |
| 2024 | DGR: Differentiable Global Router. | Wei Li, Rongjian Liang, Anthony Agnesina, Haoyu Yang, Chia-Tung Ho, Anand Rajaram, Haoxing Ren |
| 2024 | FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing. | Chao Li, Zhicheng Xu, Bo Wen, Ruibin Mao, Can Li, Thomas Kmpfe, Kai Ni, Xunzhao Yin |
| 2024 | FDCA: Fine-grained Digital-CIM based CNN Accelerator with Hybrid Quantization and Weight-Stationary Dataflow. | Bo Liu, Qingwen Wei, Yang Zhang, Xingyu Xu, Zihan Zou, Xinxiang Huang, Xin Si, Hao Cai |
| 2024 | ChatCPU: An Agile CPU Design and Verification Platform with LLM. | Xi Wang, Gwok-Waa Wan, Sam-Zaak Wong, Layton Zhang, Tianyang Liu, Qi Tian, Jianmin Ye |
| 2024 | RISC-V Instruction Set Extensions for Multi-Precision Integer Arithmetic: A Case Study on Post-Quantum Key Exchange Using CSIDH-512. | Hao Cheng, Georgios Fotiadis, Johann Groschdl, Daniel Page, Thinh Hung Pham, Peter Y. A. Ryan |
| 2024 | MCU-Wide Timing Side Channels and Their Detection. | Johannes Mller, Anna Lena Duque Antn, Lucas Deutschmann, Dino Mehmedagic, Cristiano Rodrigues, Daniel Oliveira, Mohammad Rahmani Fadiheh, Keerthikumara Devarajegowda, Sandro Pinto, Dominik Stoffel, Wolfgang Kunz |
| 2024 | CFTCG: Test Case Generation for Simulink Model through Code Based Fuzzing. | Zhuo Su, Zehong Yu, Dongyan Wang, Rui Wang, Yang Tao, Yu Jiang |
| 2024 | LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. | Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang |
| 2024 | A Cache/Algorithm Co-design for Parallel Real-Time Systems with Data Dependency on Multi/Many-core System-on-Chips. | Zhe Jiang, Shuai Zhao, Ran Wei, Yiyang Gao, Jing Li |
| 2024 | Leanor: A Learning-Based Accelerator for Efficient Approximate Nearest Neighbor Search via Reduced Memory Access. | Yi Wang, Huan Liu, Jianan Yuan, Jiaxian Chen, Tianyu Wang, Chenlin Ma, Rui Mao |
| 2024 | Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing. | Haifeng Liu, Long Zheng, Yu Huang, Haoyan Huang, Xiaofei Liao, Hai Jin |
| 2024 | IG-CRM: Area/Energy-Efficient IGZO-Based Circuits and Architecture Design for Reconfigurable CIM/CAM Applications. | Zeyu Guo, Jinshan Yue, Shengzhe Yan, Zhuoyu Dai, Xiangqu Fu, Zhaori Cong, Zening Niu, Ke Hu, Lihua Xu, Jiawei Wang, Lingfei Wang, Guanhua Yang, Di Geng, Ling Li |
| 2024 | Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas. | Hanrui Wang, Daniel Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han |
| 2024 | OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. | Jahyun Koo, Dahoon Park, Sangwoo Jung, Jaeha Kung |
| 2024 | PathFuzz: Broadening Fuzzing Horizons with Footprint Memory for CPUs. | Yinan Xu, Sa Wang, Dan Tang, Ninghui Sun, Yungang Bao |
| 2024 | MAFin: Maximizing Accuracy in FinFET based Approximated Real-Time Computing. | Shounak Chakraborty, Sangeet Saha, Magnus Sjlander, Klaus D. McDonald-Maier |
| 2024 | TrafficHD: Efficient Hyperdimensional Computing for Real-Time Network Traffic Analytics. | Haodong Lu, Zhiyuan Ma, Xinran Li, Shiyan Bi, Xiaoming He, Kun Wang |
| 2024 | On the Design of Novel Attention Mechanism for Enhanced Efficiency of Transformers. | Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Alvaro Velasquez |
| 2024 | SMORE: Similarity-Based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification. | Junyao Wang, Mohammad Abdullah Al Faruque |