| 2024 | ML-based Physical Design Parameter Optimization for 3D ICs: From Parameter Selection to Optimization. | Hao-Hsiang Hsiao, Pruek Vanna-Iampikul, Yi-Chen Lu, Sung Kyu Lim |
| 2024 | MERSIT: A Hardware-Efficient 8-bit Data Format with Enhanced Post-Training Quantization DNN Accuracy. | Nguyen-Dong Ho, Gyujun Jeong, Cheol-Min Kang, Seungkyu Choi, Ik-Joon Chang |
| 2024 | Late Breaking Results: Wiring Reduction for Field-coupled Nanotechnologies. | Simon Toni Hofmann, Marcel Walter, Robert Wille |
| 2024 | TraiNDSim: A Simulation Framework for Comprehensive Performance Evaluation of Neuromorphic Devices for On-Chip Training. | Donghyeok Heo, Hyeonsu Bang, Jong Hwan Ko |
| 2024 | Invited: Neuromorphic Architectures Based on Augmented Silicon Photonics Platforms. | Matej Hejda, Federico Marchesin, George Papadimitriou, Dimitris Gizopoulos, Benot Charbonnier, Rgis Orobtchouk, Peter Bienstman, Thomas Van Vaerenbergh, Fabio Pavanello |
| 2024 | Beyond Conventional Defenses: Proactive and Adversarial-Resilient Hardware Malware Detection using Deep Reinforcement Learning. | Zhangying He, Houman Homayoun, Hossein Sayadi |
| 2024 | Invited: Challenges and Opportunities of Quantum Optimization in Finance. | Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, Marco Pistoia |
| 2024 | Conjuring: Leaking Control Flow via Speculative Fetch Attacks. | Ali Hajiabadi, Trevor E. Carlson |
| 2024 | Levioso: Efficient Compiler-Informed Secure Speculation. | Ali Hajiabadi, Archit Agarwal, Andreas Diavastos, Trevor E. Carlson |
| 2024 | GATE-SiP: Enabling Authenticated Encryption Testing in Systems-in-Package. | Galib Ibne Haidar, Kimia Zamiri Azar, Hadi Mardani Kamali, Mark Tehranipoor, Farimah Farahmandi |
| 2024 | LLM-MARK: A Computing Framework on Efficient Watermarking of Large Language Models for Authentic Use of Generative AI at Local Devices. | Shiyu Guo, Yuhao Ju, Xi Chen, Jie Gu |
| 2024 | SMILE: LLC-based Shared Memory Expansion to Improve GPU Thread Level Parallelism. | Tianyu Guo, Xuanteng Huang, Kan Wu, Xianwei Zhang, Nong Xiao |
| 2024 | HiMOSS: A Novel High-dimensional Multi-objective Optimization Method via Adaptive Gradient-Based Subspace Sampling for Analog Circuit Sizing. | Tianchen Gu, Ruiyu Lyu, Zhaori Bi, Changhao Yan, Fan Yang, Dian Zhou, Tao Cui, Xin Liu, Zaikun Zhang, Xuan Zeng |
| 2024 | HTAG-eNN: Hardening Technique with AND Gates for Embedded Neural Networks. | Wilfread Guillem, Angeliki Kritikakou, Youri Helen, Cdric Killian, Daniel Chillet |
| 2024 | Late Breaking Results: Routability-Driven FPGA Macro Placement Considering Complex Cascade Shape and Region Constraints. | Hao Gu, Jian Gu, Keyu Peng, Jun Yang, Ziran Zhu |
| 2024 | APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models. | Ziyi Guan, Hantao Huang, Yupeng Su, Hong Huang, Ngai Wong, Hao Yu |
| 2024 | Duet: A Collaborative User Driven Recommendation System for Edge Devices. | Vidushi Goyal, Valeria Bertacco, Reetuparna Das |
| 2024 | Invited: Achieving PetaOps/W Edge-AI Processing. | Manil Dev Gomony, Bas Ahn, Rick Luiken, Yashvardhan Biyani, Anteneh Gebregiorgis, Axel Laborieux, Friedemann Zenke, Said Hamdioui, Henk Corporaal |
| 2024 | PowerLens: An Adaptive DVFS Framework for Optimizing Energy Efficiency in Deep Neural Networks. | Jiawei Geng, Zongwei Zhu, Weihong Liu, Xuehai Zhou, Boyu Li |
| 2024 | QUQ: Quadruplet Uniform Quantization for Efficient Vision Transformer Inference. | Xinkuang Geng, Siting Liu, Leibo Liu, Jie Han, Honglan Jiang |
| 2024 | NOFIS: Normalizing Flow for Rare Circuit Failure Analysis. | Zhengqi Gao, Dinghuai Zhang, Luca Daniel, Duane S. Boning |
| 2024 | RCGP: An Automatic Synthesis Framework for Reversible Quantum-Flux-Parametron Logic Circuits based on Efficient Cartesian Genetic Programming. | Rongliang Fu, Robert Wille, Tsung-Yi Ho |
| 2024 | Late Breaking Results: Extracting QNNs from NISQ Computers via Ensemble Learning. | Zhenxiao Fu, Fan Chen |
| 2024 | Data-driven HLS optimization for reconfigurable accelerators. | Aggelos Ferikoglou, Andreas Kosmas Kakolyris, Vasilis Kypriotis, Dimosthenis Masouros, Dimitrios Soudris, Sotirios Xydis |
| 2024 | Formally Verifying Arithmetic Chisel Designs for All Bit Widths at Once. | Weizhi Feng, Yicheng Liu, Jiaxiang Liu, David N. Jansen, Lijun Zhang, Zhilin Wu |