| 2024 | LOCo: LPDDR Optimization with Compression and IECC scheme for DNN Inference. | Jae-Youn Hong, Sungkyu Kim, Je-Woo Jang, Joon-Sung Yang |
| 2024 | STARC: Crafting Low-Power Mixed-Signal Neuromorphic Processors by Bridging SNN Frameworks and Analog Designs. | Kyuseung Han, Hyunseok Kwak, Kwang-Il Oh, Sukho Lee, Hyeonguk Jang, Jae-Jin Lee, Woojoo Lee |
| 2024 | Triangle Counting in the Temporal Domain. | Caroline Ellis Hammond, Patricia Gonzalez-Guerrero, Meriam Gay Bautista, Nirmalendu Bikash Patra |
| 2024 | ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement. | Vikram Gopalakrishnan, Bing-Yue Wu, Vidya Ashok Chhabria |
| 2024 | Heterogeneous Memory Integration and Optimization for Energy-Efficient Multi-Task NLP Edge Inference. | Zirui Fu, Aleksandre Avaliani, Marco Donato |
| 2024 | Magnet Free Inductive Wireless Power and Data Transmission System For Fully Implantable Cochlear Implants. | Mert Dogan, Ayse Beyhan Trkyilmaz, Yasemin Engr, Haluk Klah |
| 2024 | HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration. | Pratyush Dhingra, Jana Doppa, Partha Pratim Pande |
| 2024 | Content-based Power-saving Design for Augmented Reality Applications on Mobile Devices. | Ping-Han Chou, Shih-En Wei, Chun-Han Lin |
| 2024 | CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients. | Chanwoo Cho, Yonglak Son, Seongbin Park, Young Geun Kim |
| 2024 | ComBoost: An Instruction Complexity Aware DTM Technique for Edge Devices. | Seung Hun Choi, Joonho Kong, Sung Woo Chung |
| 2024 | ParaBase: A Configurable Parallel Baseband Processor for Ultra-High-Speed Inter-Satellite Optical Communications. | Seungkyu Choi, Huanshihong Deng, Kuan-Yu Chen, Yufan Yue, David T. Blaauw, Hun-Seok Kim |
| 2024 | Causes and Fixes of Unexpected Drone Shutoffs. | Hojun Choi, Chanyeok Choi, Youngmoon Lee |
| 2024 | A Technology-Agnostic Method for Digital LDO Synthesis and Layout Automation. | Yaswanth Kumar Cherivirala, David D. Wentzloff |
| 2024 | Xyloni: Very Low Power Neural Network Accelerator for Intermittent Remote Visual Detection of Wildfire and Beyond. | Jeffrey Chen, Sang-Woo Jun, Aditi Mundra, Jonathan Ta |
| 2024 | ePredictNet: Low Cost Error Prediction Neural Network. | Georgios Chatzitsompanis, Georgios Karakonstantis |
| 2024 | Hardware-friendly Hessian-driven Row-wise Quantization and FPGA Acceleration for Transformer-based Models. | Woohong Byun, Jongseok Woo, Saibal Mukhopadhyay |
| 2024 | 3D IC Architecture Evaluation and Optimization with Digital Compute-in-Memory Designs. | Hyung Joon Byun, Udit Gupta, Jae-sun Seo |
| 2024 | Cross-layer Exploration of 2.5D Energy-Efficient Heterogeneous Chiplets Integration: From System Simulation to Open Hardware. | Anna Burdina, Gabriel Catel Torres, Pasquale Davide Schiavone, Miguel Pen-Quirs, Giovanni Ansaloni, David Atienza, Marina Zapater |
| 2024 | VisionHD: Towards Efficient and Privacy-Preserved Hyperdimensional Computing for Image Data. | Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli |
| 2024 | EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. | Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt |
| 2024 | HQ-DTM: A Hierarchical Q-learning Algorithm for Dynamic Thermal Management of Multi-core Processors. | Abir Ahsan Akib, Ankur Srivastava |
| 2024 | PiQi: Partially Quantized DNN Inference on HMPSoCs. | Ehsan Aghapour, Yixian Shen, Dolly Sapra, Andy D. Pimentel, Anuj Pathania |
| 2024 | GUMSO: Gating Unnecessary On-Chip Memory Slices for Power Optimization on GPUs. | Seunghyun Jin, Hyunwuk Lee, Won Woo Ro |
| 2023 | iMAT: Energy-Efficient In-Memory Acceleration for Ternary Neural Networks With Sparse Dot Product. | Shien Zhu, Shuo Huai, Guochu Xiong, Weichen Liu |
| 2023 | CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion. | Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang, Yuhui Li, DongHwan Seong, Mohammad Abdullah Al Faruque, Sitao Huang |