| 2025 | Design, Model, and Explore Approximate Arithmetic Operators with AI/ML: A Tutorial. | Salim Ullah, Siva Satyendra Sahoo, Akash Kumar |
| 2025 | Special Sessions - Emerging Scope and Design Challenges for Approximate Computing: Optimizing Accuracy-PPA trade-offs and Beyond. | Siva Satyendra Sahoo, Bastien Deveautour, Marcello Traiola, Chongyan Gu, Yun Wu, Aditya Japa, Salim Ullah, Akash Kumar |
| 2025 | Work-in-Progress: I-FlashAttention: Fully Integer Fused Attention for Efficient Vision Transformers. | Sehyeon Oh, Yongin Kwon, Jemin Lee |
| 2025 | RISC-TAE: Instruction Set Extension for Transformer Model Acceleration. | Fei Liu, Yanping Shao, Zhouquan Liu, Jing Zhang, Junbo Tie, Mingche Lai, Gang Chen, Libo Huang |
| 2025 | Device Noises Resilient Training and Inference Framework for Smart Sensing on Analog Computing In Memory. | Xin-You Liu, Chi-Sheng Shih, Tsung-Te Liu, Pei-Kuei Tsung, Chih-Wei Chen, Chieh-Fang Teng |
| 2025 | Hardware-Aware Compilation and Simulation for In-Memory Computing. | Asif Ali Khan, Hadjer Benmeziane, Hamid Farzaneh, Joo Paulo C. de Lima, William Andrew Simon, Yiyu Shi, Zheyu Yan, Abu Sebastian, X. Sharon Hu, Jernimo Castrilln, Corey Lammie |
| 2025 | A Novel PUF Key Generation Method via Variable-Length Subkeys: An Application with Inertial MEMS Sensors. | Wacime Hadrich, Lukas Zimmermann, Patrick Tritschler, Axel Sikora |
| 2025 | Design and Optimization for AI/ML Acceleration on Resource-constrained and Edge Systems. | Jalil Boukhobza, Alessio Burrello, Yuan-Hao Chang, Yawei Li, Daniele Jahier Pagliari, Chun-Feng Wu, Ming-Chang Yang, Tsun-Yu Yang |
| 2024 | Enabling Energy-efficient AI Computing: Leveraging Application-specific Approximations : (Education Class). | Salim Ullah, Siva Satyendra Sahoo, Akash Kumar |
| 2024 | Efficient Neural Networks: from SW optimization to specialized HW accelerators. | Marcello Traiola, Angeliki Kritikakou, Silviu-Ioan Filip, Olivier Sentieys |
| 2024 | Primer on Data in Quantum Machine Learning. | Aviral Shrivastava, Vinayak Sharma |
| 2024 | Work-in-Progress: Temporal RegionDrop - Frame Difference Sparsity for Efficient Video Inference. | Youki Sada, Seiya Shibata, Yuki Kobayashi, Takashi Takenaka |
| 2024 | Education Abstract: Design Space Exploration for Deep Learning at the Edge. | Andy D. Pimentel |
| 2024 | Special Session: Detecting and Defending Vulnerabilities in Heterogeneous and Monolithic Systems: Current Strategies and Future Directions. | Venkat Nitin Patnala, Sai Manoj Pudukotai Dinakarrao, Guru Venkataramani, Jie Chen, Preet Derasari, Milos Doroslovacki, Fan Yao, Hongyu Fang, Meron Demissie, Todd M. Austin, Lauren Biernacki, Saket Upadhyay, Arnabjyoti Kalita, Ashish Venkat |
| 2024 | What do Transformers have to learn from Biological Spiking Neural Networks? | Jason K. Eshraghian, Rui-Jie Zhu |
| 2024 | Work-in-Progress:ACPO: An AI-Enabled Compiler Framework. | Amir H. Ashouri, Muhammad Asif Manzoor, Minh Vu, Raymond Zhang, Ziwen Wang, Angel Zhang, Bryan Chan, Tomasz S. Czajkowski, Yaoqing Gao |
| 2023 | Work-in-Process: Error-Compensation-Based Energy-Efficient MAC Unit for CNNs. | Xingyu Xu, Qingwen Wei, Yang Zhang, Hao Cai, Bo Liu |
| 2023 | Work-in-Progress: QRCNN: Scalable CNNs. | Dara Nagaraju, Nitin Chandrachoodan |
| 2023 | WIP: Automatic DNN Deployment on Heterogeneous Platforms: the GAP9 Case Study. | Luka Macan, Alessio Burrello, Luca Benini, Francesco Conti |
| 2023 | Tutorial: Designing an Edge Inferencing Accelerator with High- Level Synthesis. | Russell Klein, Petri Solanti |
| 2023 | Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications. | Jrg Henkel, Lokesh Siddhu, Lars Bauer, Jrgen Teich, Stefan Wildermann, Mehdi B. Tahoori, Mahta Mayahinia, Jernimo Castrilln, Asif Ali Khan, Hamid Farzaneh, Joo Paulo C. de Lima, Jian-Jia Chen, Christian Hakert, Kuan-Hsun Chen, Chia-Lin Yang, Hsiang-Yun Cheng |
| 2023 | Work-in-Progress: Towards Evaluating CNNs Against Integrity Attacks on Multi-tenant Computation. | Xiangru Chen, Dipal Halder, Kazi Mejbaul Islam, Sandip Ray |
| 2022 | Work in Progress: ACAC: An Adaptive Congestion-aware Approximate Communication Mechanism for Network-on-Chip Systems. | Shize Zhou, Yongqi Xue, Siyue Li, Jinlun Ji, Tong Cheng, Li Li, Yuxiang Fu |
| 2022 | Work-in-Progress: Towards a Smaller than Grain Stream Cipher: Optimized FPGA Implementations of Fruit-80. | Gangqiang Yang, Zhengyuan Shi, Cheng Chen, Hailiang Xiong, Honggang Hu, Zhiguo Wan, Keke Gai, Meikang Qiu |
| 2022 | Work-in-Progress: ExpCache: Online-Learning based Cache Replacement Policy for Non-Volatile Memory. | Jinfeng Yang, Bingzhe Li, Jianjun Yuan, Zhaoyan Shen, Hung-Chang Du, David J. Lilja |