| 2024 | TP-DCIM: Transposable Digital SRAM CIM Architecture for Energy-Efficient and High Throughput Transformer Acceleration. | Junwoo Park, Kyeongho Lee, Jongsun Park |
| 2024 | Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement. | Hongyang Pan, Cunqing Lan, Yiting Liu, Zhiang Wang, Li Shang, Xuan Zeng, Fan Yang, Keren Zhu |
| 2024 | EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research. | Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Yiran Chen, Hai Helen Li |
| 2024 | Neural Architecture Search for Highly Bespoke Robust Printed Neuromorphic Circuits. | Priyanjana Pal, Haibin Zhao, Tara Gheshlaghi, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2024 | Enhancing DNN Accelerator Integrity via Selective and Permuted Recomputation. | Jhon Ordoez, Chengmo Yang |
| 2024 | GAT-Steiner: Rectilinear Steiner Minimal Tree Prediction Using GNNs. | Bugra Onal, Eren Dogan, Muhammad Hadir Khan, Matthew R. Guthaus |
| 2024 | Heterogeneous Manycore In-Memory Computing Architectures. | Chukwufumnanya Ogbogu, Gaurav Narang, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande |
| 2024 | ISLU: Indexing-Efficient Sparse LU Factorization for Circuit Simulation on GPUs. | Dan Niu, Yiyang Tao, Zhou Jin, Yichao Dong, Chao Wang, Changyin Sun |
| 2024 | Shedding Light on LLMs: Harnessing Photonic Neural Networks for Accelerating LLMs. | Mahdi Nikdast, Salma Afifi, Sudeep Pasricha |
| 2024 | TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory. | Chenyu Ni, Sijie Chen, Che-Kai Liu, Liu Liu, Mohsen Imani, Thomas Kmpfe, Kai Ni, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Xunzhao Yin |
| 2024 | DoS-FPGA: Denial of Service on Cloud FPGAs via Coordinated Power Hammering. | Hassan Nassar, Philipp Machauer, Lars Bauer, Dennis Gnad, Mehdi Baradaran Tahoori, Jrg Henkel |
| 2024 | Balor: HLS Source Code Evaluator Based on Custom Graphs and Hierarchical GNNs. | Emmet Murphy, Lana Josipovic |
| 2024 | Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks. | Vojtech Mrazek, Argyris Kokkinis, Panagiotis Papanikolaou, Zdenek Vascek, Kostas Siozios, Georgios Tzimpragos, Mehdi B. Tahoori, Georgios Zervakis |
| 2024 | Large Scale Delocalized Federated Learning Over a Huge Diversity of Devices in Emerging Next-Generation Edge Intelligence Environments. | Mahdi Morafah, Hojin Chang, Bill Lin |
| 2024 | CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM. | John Moon, Giacomo Pedretti, Pedro Bruel, Sergey Serebryakov, Omar Eldash, Luca Buonanno, Catherine E. Graves, Paolo Faraboschi, Jim Ignowski |
| 2024 | LaserEscape: Detecting and Mitigating Optical Probing Attacks. | Saleh Khalaj Monfared, Kyle Mitard, Andrew Cannon, Domenic Forte, Shahin Tajik |
| 2024 | RandOhm: Mitigating Impedance Side-channel Attacks using Randomized Circuit Configurations. | Saleh Khalaj Monfared, Domenic Forte, Shahin Tajik |
| 2024 | RareLS: Rarity-Reducing Logic Synthesis for Mitigating Hardware Trojan Threats. | Chang Meng, Mingfei Yu, Hanyu Wang, Wayne P. Burleson, Giovanni De Micheli |
| 2024 | LACO: A Latency-Constraint Offline Neural Network Scheduler towards Reliable Self-Driving Perception. | Kaisheng Ma, Zhanhong Tan, Zijian Zhu, Mengdi Wu |
| 2024 | LAM: A LLM-Powered Assistant for Real-Time Micro-architectural Attack Detection and Mitigation. | Upasana Mandal, Shubhi Shukla, Ayushi Rastogi, Sarani Bhattacharya, Debdeep Mukhopadhyay |
| 2024 | FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SOCs. | Uday Mallappa, Hesham Mostafa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar |
| 2024 | Fault Tolerant In-Memory Computing based on Emerging Technologies for Ultra-Low Precision Edge AI Accelerators. | Akul Malhotra, Sumeet Kumar Gupta |
| 2024 | MORPH: More Robust ASIC Placement for Hybrid Region Constraint Management. | Jing Mai, Zuodong Zhang, Yibo Lin, Runsheng Wang, Ru Huang |
| 2024 | Revisiting sensitivity-based analog sizing with derivative-aware Bayesian optimization and error-suppressed adjoint analysis. | Ruiyu Lyu, Aidong Zhao, Yuan Meng, Keren Zhu, Zhaori Bi, Changhao Yan, Fan Yang, Dian Zhou, Xuan Zeng |
| 2024 | Explainable and Layout-Aware Timing Prediction. | Zhengyang Lyu, Xiaqing Li, Zidong Du, Qi Guo |