| 2024 | A 16nm Heterogeneous Accelerator for Energy-Efficient Sparse and Dense AI Computing. | Gopikrishnan Raveendran Nair, Fengyang Jiang, Jeff Zhang, Yu Cao |
| 2024 | DISHA: Low-Energy Sparse Transformer at Edge for Outdoor Navigation for the Visually Impaired Individuals. | Praveen Nagil, Sumit K. Mandal |
| 2024 | Hardware Acceleration of Inference on Dynamic GNNs. | Sudipta Mondal, Sachin S. Sapatnekar |
| 2024 | All You Need is Unary: End-to-End Unary Bit-stream Processing in Hyperdimensional Computing. | Mehran Shoushtari Moghadam, Sercan Aygun, Faeze S. Banitaba, M. Hassan Najafi |
| 2024 | Energy Efficiency Through In-Sensor Computing: ADC-less Real-Time Sensing for Image Edge Detection. | Nirmoy Modak, Kaushik Roy |
| 2024 | Unleashing Flexibility of ML-based Power Estimators Through Efficient Development Strategies. | Yao Lu, Qijun Zhang, Zhiyao Xie |
| 2024 | LowPASS: A Low power PIM-based accelerator with Speculative Scheme for SNNs. | Fangxin Liu, Shiyuan Huang, Longyu Zhao, Li Jiang, Zongwu Wang |
| 2024 | CIPUF: Towards On-chip Learnable Anomaly Detection with Compute-In-PUF Architecture. | Jianbo Liu, Boyang Cheng, Zephan M. Enciso, Steven Davis, Ningyuan Cao |
| 2024 | LUTIN: Efficient Neural Network Inference with Table Lookup. | Shi-Zhe Lin, Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo, Hsiang-Pang Li |
| 2024 | A 28nm Scalable and Flexible Accelerator for Sparse Transformer Models. | Yuan Liao, Jian Meng, Jae-sun Seo |
| 2024 | Systolic Array Acceleration of Spiking Neural Networks with Application-Independent Split-Time Temporal Coding. | Jeongjun Lee, Peng Li |
| 2024 | Low Overhead Logic Locking for System-Level Security: A Design Space Modeling Approach. | Long Lam, Maksym Melnyk, Michael Zuzak |
| 2024 | SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators. | Shamik Kundu, Soumendu Kumar Ghosh, Arnab Raha, Deepak A. Mathaikutty |
| 2024 | ReOVE: Restricted Out-of-Order Execution for Superscalar Processors with Vector Extension. | Masayuki Kimura, Ryota Shioya |
| 2024 | Statues: Energy-Efficient Video Object Detection on Edge Security Devices with Computational Skipping. | Yeonggeon Kim, Hyunmin Kim, Sungju Ryu |
| 2024 | Sparrow ECC: A Lightweight ECC Approach for HBM Refresh Reduction towards Energy-efficient DNN Inference. | Hoseok Kim, Seung Hun Choi, Joonho Kong, Young-Ho Gong, Sung Woo Chung |
| 2024 | iSPADE: End-to-end Sparse Architecture for Dense DNN Acceleration via Inverted-bit Representation. | Dongjun Kim, Han Cho, Jongsun Park |
| 2024 | Coupled 7T 1C SRAM based in-memory computing architecture with gain/offset error auto-compensated SAR ADC. | Honggu Kim, Yerim An, Yong Shim |
| 2024 | Rapid Hardware/Software Design Space Exploration for Efficient Intermittent Systems. | Youngbin Kim, Hyoseung Kim |
| 2024 | X-IMM: Mixed-Signal Iterative Montgomery Modular Multiplication. | Mehdi Kamal, Massoud Pedram |
| 2024 | EDeN: Enabling Low-Power CNN Inference on Edge Devices Using Prefetcher-assisted NVM Systems. | Jihoon Jang, Hyokeun Lee, Hyun Kim |
| 2024 | STT-MRAM-based Near-Memory Computing Architecture with Read Scheme and Dataflow Co-Design for High-Throughput and Energy-Efficiency. | Yunho Jang, Yeseul Kim, Jongsun Park |
| 2024 | Design Approach for Die-to-Die Interfaces to Enable Energy-Efficient Chiplet Systems. | Vikram Jain, Wei Tang, Zuoguo Wu, Viansa Schmulbach, Yakun Sophia Shao, Zhengya Zhang, Borivoje Nikolic |
| 2024 | FPIA: Field-Programmable Ising Arrays with In-Memory Computing. | George Higgins Hutchinson, Ethan Sifferman, Tinish Bhattacharya, Dongseok Kwon, Dmitri B. Strukov |
| 2024 | SPADES: A 0.54-GFLOPS/W Sparse Matrix Vector Multiplication Accelerator Featuring On-the-Fly GZIP Decompression for 3.36X Reduction in Off-Chip Data Movement. | Paul Xuanyuanliang Huang, Yannis P. Tsividis, Mingoo Seok |