| 2023 | Processing-in-Memory Using Optically-Addressed Phase Change Memory. | Guowei Yang, Cansu Demirkiran, Zeynep Ece Kizilates, Carlos A. Ros Ocampo, Ayse K. Coskun, Ajay Joshi |
| 2023 | Energy Efficient Real-Time Scheduling on Heterogeneous Architectures with Self-Suspension. | Wenwen Xu, Zheyu Zhang, Yuankai Xu, Jing Li, Yehan Ma, Yier Jin, Christopher D. Gill, Xuan Zhang, An Zou |
| 2023 | Low Power Logic Obfuscation Through System Level Clock Gating. | Daniel Xing, Yuntao Liu, Ankur Srivastava |
| 2023 | Machine Learning Driven Synthesis of Clock Gating. | Doyeon Won, Soomin Kim, Taewhan Kim |
| 2023 | Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence. | Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi |
| 2023 | Quantifying the Overheads of Modular Multiplication. | Deepraj Soni, Mohammed Nabeel, Negar Neda, Ramesh Karri, Michail Maniatakos, Brandon Reagen |
| 2023 | A Comparative Study on Front-Side, Buried and Back-Side Power Rail Topologies in 3nm Technology Node. | Sandra Maria Shaji, Lingjun Zhu, Jun-Sik Yoon, Sung Kyu Lim |
| 2023 | Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators. | Utkarsh Saxena, Kaushik Roy |
| 2023 | Cryogenic CMOS as an Enabler for Low Power Dynamic Logic. | Rakshith Saligram, Suman Datta, Arijit Raychowdhury |
| 2023 | CoolDRAM: An Energy-Efficient and Robust DRAM. | Nezam Rohbani, Mohammad Arman Soleimani, Hamid Sarbazi-Azad |
| 2023 | Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. | Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari |
| 2023 | PAIRS: Pruning-AIded Row-Skipping for SDK-Based Convolutional Weight Mapping in Processing-In-Memory Architectures. | Johnny Rhe, Kang Eun Jeon, Jong Hwan Ko |
| 2023 | Efficient Multi-Objective Optimization for PVT Variation-Aware Circuit Sizing Using Surrogate Models and Smart Corner Sampling. | Octavian Pascu, Catalin Visan, Georgian Nicolae, Mihai Boldeanu, Horia Cucu, Cristian Diaconu, Andi Buzo, Georg Pelz |
| 2023 | Energy-Harvesting-Aware Adaptive Inference of Deep Neural Networks in Embedded Systems. | Gwanjong Park, Osama Khan, Euiseong Seo |
| 2023 | Florian: Developing a Low-Power RISC-V Multicore Processor with a Shared Lightweight FPU. | Jina Park, Kyuseung Han, Eunjin Choi, Sukho Lee, Jae-Jin Lee, Woojoo Lee, Massoud Pedram |
| 2023 | RF2P: A Lightweight RISC Processor Optimized for Rapid Migration from IEEE-754 to Posit. | Hyun Woo Oh, Seongmo An, Won Sik Jeong, Seung Eun Lee |
| 2023 | Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADC. | Chukwufumnanya Ogbogu, Soumen Mohapatra, Biresh Kumar Joardar, Janardhan Rao Doppa, Deuk Heo, Krishnendu Chakrabarty, Partha Pratim Pande |
| 2023 | Energy-Efficient Machine Learning Acceleration: From Technologies to Circuits and Systems. | Chukwufumnanya Ogbogu, Madeleine Abernot, Corentin Delacour, Aida Todri-Sanial, Sudeep Pasricha, Partha Pratim Pande |
| 2023 | Uncertainty-Aware Online Learning for Dynamic Power Management in Large Manycore Systems. | Gaurav Narang, Raid Ayoub, Michael Kishinevsky, Janardhan Rao Doppa, Partha Pratim Pande |
| 2023 | Efficient Machine Learning on Encrypted Data Using Hyperdimensional Computing. | Yujin Nam, Minxuan Zhou, Saransh Gupta, Gabrielle De Micheli, Rosario Cammarota, Chris Wilkerson, Daniele Micciancio, Tajana Rosing |
| 2023 | A Multicore GNN Training Accelerator. | Sudipta Mondal, Ramprasath S, Ziqing Zeng, Kishor Kunal, Sachin S. Sapatnekar |
| 2023 | Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units. | Vahidreza Moghaddas, Hammam Kattan, Tim Bcher, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch |
| 2023 | Energy-Efficient RISC-V-Based Vector Processor for Cache-Aware Structurally-Pruned Transformers. | Jung Gyu Min, Dongyun Kam, Younghoon Byun, Gunho Park, Youngjoo Lee |
| 2023 | WeNet: Configurable Neural Network with Dynamic Weight-Enabling for Efficient Inference. | Jingxiao Ma, Sherief Reda |
| 2023 | Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services. | Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii |