| 2025 | A 20.98TOPS/W Energy-Efficient Binary BERT Model on Group Vector Systolic CIM Accelerator. Dingbang Liu, Ziyi Guan, Qilong Chen, Jingyun Gu, Jiaqi Yang, Kai Li, Wei Mao, Ngai Wong, Changwen Chen, Hao Yu |
| 2025 | A Compact, Low Power Transprecision ALU for Smart Edge Devices. Ayushi Dube, Gian Singh, Sarma Vrudhula |
| 2025 | A High-Performance Dataflow-Based ORB Extractor Accelerator for SLAM. Rui Xue, Wenming Li, Haibin Wu, Cheng Guo, Yi Li, Xiaochun Ye, Dongrui Fan |
| 2025 | A Scalable External Memory Access and On-Chip Storage Architecture for Edge-AI Accelerators : - Multi-Path Rolling Data Refresh and Layer-Wise Bank Allocation -. Quan Cheng, Huizi Zhang, Qiufeng Li, Yuan Liang, Mingtao Zhang, Zhenzhe Chen, Ruilin Zhang, Jinjun Xiong, Mingqiang Huang, Longyang Lin, Masanori Hashimoto |
| 2025 | A Spectral-Efficient Low-Power NRZ/PAM-4 Dual-Mode Wireline Transmitter for Multidrop Interfaces. DongGeon Kim, Kiarash Gharibdoust, Armin Tajalli, Kyungtae Lee, Gain Kim |
| 2025 | ASAP-FE: Energy-Efficient Feature Extraction Enabling Multi-Channel Keyword Spotting on Edge Processors. Jongin Choi, Jina Park, Jae-Jin Lee, Massoud Pedram, Woojoo Lee |
| 2025 | Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator. Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak K. Mathaikutty, Tushar Krishna |
| 2025 | AdaGray: An Energy-Efficient Adaptive Gray-Code Strategy for QLC Flash-Memory Storage Systems. Han-Yu Liao, Jen-Wei Hsieh, Yi-Shen Chen, Chang-Lin Tsai, Yuan-Hao Chang |
| 2025 | Always-On Sensing in Energy-Harvested Systems via Stochastic Intermittent Computing. Sepehr Tabrizchi, Mehran Moghadam, Ali Shafiee Sarvestani, Sercan Aygun, M. Hassan Najafi, Arman Roohi |
| 2025 | An Analog Multiplier Utilizing an Unconventional Bit-Weighting Scheme with Application to Neural Network Quantization. Mehdi Kamal, Massoud Pedram |
| 2025 | An Open-Source HW-SW Co-Development Framework Enabling Efficient Multi-Accelerator Systems. Ryan Antonio, Joren Dumoulin, Xiaoling Yi, Josse Van Delm, Yunhao Deng, Guilherme Paim, Marian Verhelst |
| 2025 | AridWalk: Efficient Graph Random Walks on a Resource-Limited Computational Storage Device. Liang-Chi Chen, Chien-Chung Ho, Tei-Wei Kuo, Yuan-Hao Chang |
| 2025 | CAM-CIM: A Hybrid Compute-in-Memory Using Content-Addressable Memory with Subword Split Mapping for Reduced ADC Resolution. Sangwoo Jung, Hojin Lee, Yejin Lee, Jiyong Park, Dahoon Park, Hyunseob Shin, Jong-Hyeok Yoon, Jaeha Kung |
| 2025 | Can Photonic Interconnects be used for High-Throughput Memory Access in FHE Accelerators? Dewan Saiham, Mariam Rabadi, Di Wu, Sazadur Rahman |
| 2025 | Cost-efficient Processing-in-Memory Architecture with Training-free and Universal Error Compensation. Myeongji Yun, Jung Gyu Min, Sein Oh, Jiwoung Choi, Jang-Sik Lee, Minkyu Je, Youngjoo Lee |
| 2025 | DIRC-RAG: Accelerating Edge RAG with Robust High-Density and High-Loading-Bandwidth Digital In-ReRAM Computation. Kunming Shao, Zhipeng Liao, Jiangnan Yu, Liang Zhao, Qiwei Li, Xijie Huang, Jingyu He, Fengshi Tian, Yi Zou, Xiaomeng Wang, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui |
| 2025 | DPIMA: A DRAM-Based Processing-in-Memory Accelerator for Privacy-Preserving Machine Learning. Bokyung Kim |
| 2025 | Demo Abstract: A Low-Power Real-Time Hardware Accelerator for Edge Detection Using Stochastic Computing. Priyajit Ghosh, Rajarshi Mukherjee, Auro Anand Saha, Sutirtha Naha, Arghadip Das, Arnab Raha, Mrinal Kanti Naskar |
| 2025 | Demo Abstract: ECO: Low Power Context-Aware Multimodal AI on NPUs. Arghadip Das, Yatharth Agarwal, Soumendu Kumar Ghosh, Arnab Raha, Vijay Raghunathan |
| 2025 | Demo Abstract: Radar-PIM-Lite: Ultra-Low-Power PIM Processor for Real-Time UWB Radar Respiration Detection on UAVs. Kyeongwon Lee, Hyunseok Kwak, Kyeongpil Min, Chaebin Jung, Sangmin Jeon, Woojoo Lee, Jina Park, Massoud Pedram |
| 2025 | Design Techniques for Ultra-low Power Cryogenic CMOS for Quantum Computing Applications. Sudipto Chakraborty, Pat Rosno, John F. Bulzacchelli, David J. Frank, Rajiv V. Joshi, Daniel J. Friedman |
| 2025 | Design of a Correlation-Insensitive HFQ Stochastic Adder by Local Two-Phase Clocking. Yuki Matsumoto, Masamitsu Tanaka, Takatsugu Ono |
| 2025 | Development of a Physics-Informed Neural Network Model for Rapid Power Integrity Analysis in Die-Level and Die-Package Co-Design for 2.5-D Chiplet Solutions. Xi Chen, Yuhao Ju, Jie Gu |
| 2025 | Diffusion-Enhanced Graph Transformer with Reinforcement Learning for Transferable Analog Circuit Optimizer. Ho-jin Lee, Kyeong-Jun Lee, Jae-Hoon Lee, Kyu-Jin Choi, Geunyong Choi, Youngchang Choi, Kyongsu Lee, Seokhyeong Kang, Jae-Yoon Sim |
| 2025 | E-Flash: Energy-Efficient DNN Mapping on NAND Flash Memory with State-Switching Algorithm. Gisan Ji, Sanghun Shin, Jangho Baik, Wonbo Shim, Sungju Ryu |
| 2025 | ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs. Ryan Quach, Yidi Wang, Ali Jahanshahi, Daniel Wong, Hyoseung Kim |
| 2025 | Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning. Stef Cuyckens, Xiaoling Yi, Nitish Satya Murthy, Chao Fang, Marian Verhelst |
| 2025 | Energy-Efficient Single-Ended Capacitive PAM-4 Transceiver for Next-Generation HBM Interfaces. Jaeyoon Kim, Sangyoon Lee, Jaekwang Yun, Sanghyuk Seo, Kwangyeon Lee, Yong-Un Jeong, Suhwan Kim |
| 2025 | Enhancing Low-Precision Deep Learning: A Posit8 Framework for Energy Efficient DNN Training. Dongyang Wu, Mehdi Kamal, Massoud Pedram |
| 2025 | Exploration of Low-Power Flexible Stress Monitoring Classifiers for Conformal Wearables. Florentia Afentaki, Sri Sai Rakesh Nakkilla, Konstantinos Balaskas, Paula Carolina Lozano Duarte, Shiyi Jiang, Georgios Zervakis, Farshad Firouzi, Krishnendu Chakrabarty, Mehdi B. Tahoori |
| 2025 | FLASH-D: FlashAttention with Hidden Softmax Division. Kosmas Alexandridis, Vasileios Titopoulos, Giorgos Dimitrakopoulos |
| 2025 | Faster Ternary and Binary Neural Network Inference on CPU by Reducing Popcount Overhead. Olivier Fischer, Shien Zhu, Gustavo Alonso |
| 2025 | GAVINA: flexible aggressive undervolting for bit-serial mixed-precision DNN acceleration. Jordi Fornt, Pau Fontova-Musté, Adrian Gras, Omar Lahyani, Martí Caro, Jaume Abella, Francesc Moll, Josep Altet |
| 2025 | GenSoC: A Multi-Agent-Assisted SoC Generation Methodology Leveraging Open-Source Hardware. Peiran Yan, Qinzhe Zhi, Lifeng Liu, Tianyu Jia |
| 2025 | Hybrid Systolic Array Accelerator with Optimized Dataflow for Edge Large Language Model Inference. Chun-Ting Chen, HanGyeol Mun, Jian Meng, Mohamed S. Abdelfattah, Jae-sun Seo |
| 2025 | ID-VS A: Independent and Dynamic Vector Symbolic Architecture for Energy-Efficient Edge Al. Mehran Shoushtari Moghadam, Abu Kaisar Mohammad Masum, Sercan Aygun, M. Hassan Najafi |
| 2025 | IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2025, Reykjavík, Iceland, August 6-8, 2025 |
| 2025 | J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor. Benoît Tain, Raphael Millet, Romain Lemaire, Michal Szczepanski, Laurent Alacoque, Emmanuel Pluchart, Sylvain Choisnet, Rohit Prasad, Jérôme Chossat, Pascal Pierunek, Pascal Vivet, Sébastien Thuries |
| 2025 | Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats. Seock-Hwan Noh, Sungju Kim, Seohyun Kim, Daehoon Kim, Jaeha Kung, Yeseong Kim |
| 2025 | LoRASensE: Learnable Low-Rank Acquisition in Sensors for Efficient Edge Machine Vision. Yiwen Liang, Zhiqiang Yi, Tianrui Ma, Weidong Cao |
| 2025 | MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design. Giovanni Pollo, Mohamed Amine Hamdi, Matteo Risso, Lorenzo Ruotolo, Pietro Furbatto, Matteo Isoldi, Yukai Chen, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Sara Vinco |
| 2025 | MIX-3D: AI-based Architecture-Circuit Co-design Methodology for Mixed-Node, Mixed-Area 3D ICs. Min Gyu Park, Doyun Kim, Sung Kyu Lim |
| 2025 | ML-Power: Machine Learning based Power Estimation for SoCs. Sujay Pandit, Sujit Dey, Anand Raghunathan |
| 2025 | MTA-Coded PAM-4 Receiver with Decision Feedback Power Saving Scheme and Partial DFE for Low-Power Memory Interfaces. Jusung Lee, Younghwan Chang, Jaekwang Yun, Sanghyuk Seo, Yong-Un Jeong, Suhwan Kim |
| 2025 | MemRaptor: Magnetoresistive Array as Matrix Vector Multiplication and Transcendental Function Operator for NLP Applications. Dong Eun Kim, Tanvi Sharma, Anushka Mukherjee, Mainakh Mukherjee, Kaushik Roy |
| 2025 | Meta-Heuristic Optimization of Karatsuba Multiplier Designed ECC Processor. Pruthvi Parate, Daksh Sharma, Alwin Shaju, D. R. Vasanthi, Madhav Rao |
| 2025 | Minimizing Redundant Checkpoint Triggers for Efficient Intermittent Systems. YoungBin Kim, Yoojin Lim |
| 2025 | Neuromorphic Edge Computing: Challenges, Opportunities, and Current Solutions. Federico Corradi, Amir Zjajo, Letícia Maria Bolzani Poehls, Milos Krstic, Orlando Moreira, Zeqi Zhu, Farhad Merchant |
| 2025 | On-chip Integrated Voltage Regulators: Frontside, Backside, or Off-Chipƒ. Amaan Rahman, Seungmin Woo, Zheng Yang, Sung Kyu Lim |
| 2025 | Optimizing Heterogeneous Compute-in-Memory with Hybrid Dataflow and In-Network Reduction for Vision Transformer. Zexin Fu, Yihang Zuo, Yuzhe Ma, Jiayi Huang |
| 2025 | Partial-Sum Quantization Based on Pseudo-Quantization Noise for Variation-Tolerant Analog In-Memory Computing. Nameun Kang, Eunhyeok Park, Sangsu Park, Jongil Kim, Jaeyun Yi, Jae-Joon Kim |
| 2025 | Power Map Characterization and Modeling for Commercial CPU/GPUs Considering Temperature Dependence. Jincong Lu, Sachin Sachdeva, Haotian Lu, Sheldon X.-D. Tan |
| 2025 | QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities. Sai Kiran Narayanaswami, Gopalakrishnan Srinivasan, Balaraman Ravindran |
| 2025 | RIMIX: RISC-V Core with MIXed-Precision SIMD Instruction Extensions Supported by Oracle-Assisted Sub-Network Search for Efficient TinyML. Jiyong Park, Dahoon Park, Yeeun Hong, Jaeha Kung |
| 2025 | Repurpose Accel-Sim for Next Generation NVIDIA Jetson GPU Architectural Design. Tianhao Huang, Lingyu Sun, Chao Li, Xiaofeng Hou, Yaqian Zhao, Jingwen Leng, Li Li, Minyi Guo |
| 2025 | Revisiting Reconfigurable Acceleration of Vision Transformer with Patch Pruning. Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Tamoghno Das, Fei Wen, Mohsen Imani |
| 2025 | SHIFT ECC: A Value Converting HBM ECC Approach for Refresh Energy Efficient Integer Quantized DNN Inference. Jae Yoon Lee, Young Seo Lee, Young-Ho Gong, Seon Wook Kim, Sung Woo Chung |
| 2025 | SITRA: Exploiting Temporal Silence in Spiking Transformers for Fast & Energy-efficient Inference. Abhiroop Bhattacharjee, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda |
| 2025 | Simultaneous Optimization of Placement Legalization and Multi-bit Flip-flop Allocation in Physical Design Automation. Seoyoung Bang, Taewhan Kim |
| 2025 | SmartMS: Efficient Hierarchical Database Search for Mass Spectrometry via Processing-in-Memory. Flavio Ponzina, Sumukh Pinge, Zheyu Li, Abhijay Deevi, Yilin Ge, Mingu Kang, Tajana Rosing |
| 2025 | Sustainably Secure: ChaCha20 Encryption Based on In-Memory Compute. Samridhi Jain, Mohd Aamir, Anuj Grover |
| 2025 | TEE-SFL: Time and Energy-efficient solution for addressing communication heterogeneity in Split Federated Learning Schemes. Ziyi Zhao, Qifeng Chen, Jingtao Li, Deliang Fan, Chaitali Chakrabarti |
| 2025 | Thermal Aware Design Methodologies for System On Chip Application Processor. Youngsang Cho, Junso Pak, Seungwook Yoon, Ilryong Kim |
| 2025 | Thermal Challenges and Opportunities for Off-the-shelf 3D-stacked CPUs. Jae Yoon Lee, Chae Young Sim, Seung Hun Choi, Sung Woo Chung |
| 2025 | Timing-Driven Macro Placement with Connectivity-Aware Clustering. Gangmin Jeon, Heechun Park |
| 2025 | Towards Zero-Stall Matrix Multiplication on Energy-Efficient RISC-V Clusters for Machine Learning Acceleration. Luca Colagrande, Lorenzo Leone, Maximilian Coco, Andrei Deaconeasa, Luca Benini |
| 2025 | Transistor-to-GDS Reliability Analysis in Sub-3nm: Impact of Self-Heating and Aging on Timing. Swati Deshwal, Hadi Nour Eddine, Mahdi Benkhelifa, Albi Mema, Yogesh Singh Chauhan, Hussam Amrouch |
| 2025 | TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision. Jinhee Kim, Seoyeon Yoon, Taeho Lee, Joo Chan Lee, Kang Eun Jeon, Jong Hwan Ko |
| 2025 | Tutorial: Autonomy with Neuromorphic System. Amit Ranjan Trivedi, Priyadarshini Panda, Kaushik Roy, Saibal Mukhopadhyay |
| 2025 | Tutorial: The Energy Cost of Privacy and Security. Ayse Kivilcim Coskun, Paolo Palmieri, Francesco Regazzoni |
| 2025 | Unicorn-CIM: Unconvering the Vulnerability and Improving the Resilience of High-Precision Compute-in-Memory. Qiufeng Li, Yiwen Liang, Weidong Cao |
| 2025 | upGEMV: A Bandwidth-Efficient and Scalable GEMV Accelerator for PIM Systems. Fan Yang, Shunchen Shi, Pengheng Zhang, Xueqi Li |