| 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 | A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices. Zexi Ji, Hanrui Wang, Miaorong Wang, Win-San Khwa, Meng-Fan Chang, Song Han, Anantha P. Chandrakasan |
| 2023 | A Multicore GNN Training Accelerator. Sudipta Mondal, Ramprasath S, Ziqing Zeng, Kishor Kunal, Sachin S. Sapatnekar |
| 2023 | A Self-Powered Predictive Maintenance System Based on Piezoelectric Energy Harvesting and TinyML. Zijie Chen, Yiming Gao, Junrui Liang |
| 2023 | AR-PIM: An Adaptive-Range Processing-in-Memory Architecture. Teyuh Chou, Fernando García-Redondo, Paul N. Whatmough, Zhengya Zhang |
| 2023 | Automatic Generation of Structured Macros Using Standard Cells ‒ Application to CIM. Christian Lanius, Jie Lou, Johnson Loh, Tobias Gemmeke |
| 2023 | Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A. Beerel |
| 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 |
| 2023 | CoolDRAM: An Energy-Efficient and Robust DRAM. Nezam Rohbani, Mohammad Arman Soleimani, Hamid Sarbazi-Azad |
| 2023 | Cryogenic CMOS as an Enabler for Low Power Dynamic Logic. Rakshith Saligram, Suman Datta, Arijit Raychowdhury |
| 2023 | DCIM-3DRec: A 3D Reconstruction Accelerator with Digital Computing-in-Memory and Octree-Based Scheduler. Yiqi Jing, Yiyang Sun, Xiao Wang, Wentao Zhao, Meng Wu, Fengyun Yan, Yufei Ma, Le Ye, Tianyu Jia |
| 2023 | Development of Tropical Algebraic Accelerator with Energy Efficient Time-Domain Computing for Combinatorial Optimization and Machine Learning. Qiankai Cao, Xi Chen, Jie Gu |
| 2023 | Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network. Edgar Luhulima, Madeleine Abernot, Federico Corradi, Aida Todri-Sanial |
| 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 | 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 | Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services. Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii |
| 2023 | Enabling Highly-Efficient DNA Sequence Mapping via ReRAM-based TCAM. Yu-Shao Lai, Shuo-Han Chen, Yuan-Hao Chang |
| 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 | 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 | Energy-Efficient Missing Data Recovery in Wearable Devices: A Novel Search-Based Approach. Dina Hussein, Taha Belkhouja, Ganapati Bhat, Janardhan Rao Doppa |
| 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 | 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-Harvesting-Aware Adaptive Inference of Deep Neural Networks in Embedded Systems. Gwanjong Park, Osama Khan, Euiseong Seo |
| 2023 | FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique |
| 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 | Hardware Trojans in fdSOI. Christian Lanius, Florian Freye, Shutao Zhang, Tobias Gemmeke |
| 2023 | IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2023, Vienna, Austria, August 7-8, 2023 |
| 2023 | IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines. Omar Ghazal, Simranjeet Singh, Tousif Rahman, Shengqi Yu, Yujin Zheng, Domenico Balsamo, Sachin B. Patkar, Farhad Merchant, Fei Xia, Alex Yakovlev, Rishad A. Shafik |
| 2023 | ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini |
| 2023 | Joint Optimization of Cache Management and Graph Reordering for GCN Acceleration. Kyeong-Jun Lee, Byungjun Kim, Han-Gyeol Mun, Seunghyun Moon, Jae-Yoon Sim |
| 2023 | LAXOR: A Bit-Accurate BNN Accelerator with Latch-XOR Logic for Local Computing. Dongrui Li, Tomomasa Yamasaki, Aarthy Mani, Anh Tuan Do, Niangjun Chen, Bo Wang |
| 2023 | Learning from Output Transitions: A Chosen Challenge Strategy for ML Attacks on PUFs. Chia-Chih Lin, Ming-Syan Chen |
| 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 | Model-Driven Dataset Generation for Data-Driven Battery SOH Models. Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco |
| 2023 | Multi-Objective Optimization for Floating Point Mix-Precision Tuning. Zeqing Li, Yongwei Wu, Youhui Zhang |
| 2023 | Multi-Source Transfer Learning for Design Technology Co-Optimization. Jakang Lee, Jaeseung Lee, SeongHyeon Park, Seokhyeong Kang |
| 2023 | Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence. Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi |
| 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 | Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators. Utkarsh Saxena, Kaushik Roy |
| 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 | Processing-in-Memory Using Optically-Addressed Phase Change Memory. Guowei Yang, Cansu Demirkiran, Zeynep Ece Kizilates, Carlos A. Ríos Ocampo, Ayse K. Coskun, Ajay Joshi |
| 2023 | Quantifying the Overheads of Modular Multiplication. Deepraj Soni, Mohammed Nabeel, Negar Neda, Ramesh Karri, Michail Maniatakos, Brandon Reagen |
| 2023 | REFROM: Responsive, Energy-Efficient Frame Rendering for Mobile Devices. Tsung-Yen Hsu, Yi-Shen Chen, Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo |
| 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 | RecPIM: A PIM-Enabled DRAM-RRAM Hybrid Memory System For Recommendation Models. Heewoo Kim, Haojie Ye, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati |
| 2023 | Scaled Population Division for Approximate Computing. Kunal Bharathi, Sunil P. Khatri, Jiang Hu |
| 2023 | Sky-NN: Enabling Efficient Neural Network Data Processing with Skyrmion Racetrack Memory. Yong-Cheng Liaw, Shuo-Han Chen, Yuan-Hao Chang, Yu-Pei Liang |
| 2023 | Teleport: A High-Performance ShiftNet Hardware Accelerator with Fused Layer Computation. Hyunmin Kim, Sungju Ryu |
| 2023 | Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units. Vahidreza Moghaddas, Hammam Kattan, Tim Bücher, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch |
| 2023 | TensorCV: Accelerating Inference-Adjacent Computation Using Tensor Processors. Dongho Ha, Won Woo Ro, Hung-Wei Tseng |
| 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 | WeNet: Configurable Neural Network with Dynamic Weight-Enabling for Efficient Inference. Jingxiao Ma, Sherief Reda |
| 2023 | Weight-Aware Activation Mapping for Energy-Efficient Convolution on PIM Arrays. Kang Eun Jeon, Johnny Rhe, Hyeonsu Bang, Jong Hwan Ko |
| 2023 | iMAT: Energy-Efficient In-Memory Acceleration for Ternary Neural Networks With Sparse Dot Product. Shien Zhu, Shuo Huai, Guochu Xiong, Weichen Liu |