| 2024 | 3D IC Architecture Evaluation and Optimization with Digital Compute-in-Memory Designs. Hyung Joon Byun, Udit Gupta, Jae-sun Seo |
| 2024 | 3D-Aware Low Power High-level Resource Binding and Co-Design. Daniel H. Xing, Ankur Srivastava |
| 2024 | A 16nm Heterogeneous Accelerator for Energy-Efficient Sparse and Dense AI Computing. Gopikrishnan Raveendran Nair, Fengyang Jiang, Jeff Zhang, Yu Cao |
| 2024 | A 28nm Scalable and Flexible Accelerator for Sparse Transformer Models. Yuan Liao, Jian Meng, Jae-sun Seo |
| 2024 | A Technology-Agnostic Method for Digital LDO Synthesis and Layout Automation. Yaswanth Kumar Cherivirala, David D. Wentzloff |
| 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 | An Energy-Efficient 3D Point Neural Network Accelerator with Fine-grained LiDAR-SoC Pipeline Structure. Bokyoung Seo, Jueun Jung, Donghyeon Han, Kyuho Jason Lee |
| 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 | CLOVER: Carbon Optimization of Federated Learning over Heterogeneous Clients. Chanwoo Cho, Yonglak Son, Seongbin Park, Young Geun Kim |
| 2024 | Causes and Fixes of Unexpected Drone Shutoffs. Hojun Choi, Chanyeok Choi, Youngmoon Lee |
| 2024 | ComBoost: An Instruction Complexity Aware DTM Technique for Edge Devices. Seung Hun Choi, Joonho Kong, Sung Woo Chung |
| 2024 | Content-based Power-saving Design for Augmented Reality Applications on Mobile Devices. Ping-Han Chou, Shih-En Wei, Chun-Han Lin |
| 2024 | Cooling the Chaos: Mitigating the Effect of Threshold Voltage Variation in Cryogenic CMOS Memories. Rakshith Saligram, Amol D. Gaidhane, Yu Kevin Cao, Suman Datta, Arijit Raychowdhury |
| 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 | Cross-layer Exploration of 2.5D Energy-Efficient Heterogeneous Chiplets Integration: From System Simulation to Open Hardware. Anna Burdina, Gabriel Catel Torres, Pasquale Davide Schiavone, Miguel Peón-Quirós, Giovanni Ansaloni, David Atienza, Marina Zapater |
| 2024 | Cryogenic Operation of Computing-In-Memory based Spiking Neural Network. Laith A. Shamieh, Wei-Chun Wang, Shida Zhang, Rakshith Saligram, Amol D. Gaidhane, Yu Cao, Arijit Raychowdhury, Suman Datta, Saibal Mukhopadhyay |
| 2024 | DISHA: Low-Energy Sparse Transformer at Edge for Outdoor Navigation for the Visually Impaired Individuals. Praveen Nagil, Sumit K. Mandal |
| 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 | EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt |
| 2024 | EDeN: Enabling Low-Power CNN Inference on Edge Devices Using Prefetcher-assisted NVM Systems. Jihoon Jang, Hyokeun Lee, Hyun Kim |
| 2024 | Efficient Transformer Acceleration via Reconfiguration for Encoder and Decoder Models and Sparsity-Aware Algorithm Mapping. Chang Eun Song, Ashkan Moradifirouzabadi, Tajana Rosing, Mingu Kang |
| 2024 | Energy Efficiency Through In-Sensor Computing: ADC-less Real-Time Sensing for Image Edge Detection. Nirmoy Modak, Kaushik Roy |
| 2024 | Energy Harvesting-Supported Efficient Low-Power ML Processing with Adaptive Checkpointing and Intermittent Computing. Sanket Shukla, Sai Manoj Pudukotai Dinakarrao |
| 2024 | Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables. Hossein Taji, José Miranda, Miguel Peón-Quirós, David Atienza |
| 2024 | FPIA: Field-Programmable Ising Arrays with In-Memory Computing. George Higgins Hutchinson, Ethan Sifferman, Tinish Bhattacharya, Dongseok Kwon, Dmitri B. Strukov |
| 2024 | GUMSO: Gating Unnecessary On-Chip Memory Slices for Power Optimization on GPUs. Seunghyun Jin, Hyunwuk Lee, Won Woo Ro |
| 2024 | HQ-DTM: A Hierarchical Q-learning Algorithm for Dynamic Thermal Management of Multi-core Processors. Abir Ahsan Akib, Ankur Srivastava |
| 2024 | Hardware Acceleration of Inference on Dynamic GNNs. Sudipta Mondal, Sachin S. Sapatnekar |
| 2024 | Hardware-friendly Hessian-driven Row-wise Quantization and FPGA Acceleration for Transformer-based Models. Woohong Byun, Jongseok Woo, Saibal Mukhopadhyay |
| 2024 | HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration. Pratyush Dhingra, Jana Doppa, Partha Pratim Pande |
| 2024 | Hetero-3D: Maximizing Performance and Power Delivery Benefits of Heterogeneous 3D ICs. Lingjun Zhu, Jiawei Hu, Gauthaman Murali, Sung Kyu Lim |
| 2024 | Heterogeneous Memory Integration and Optimization for Energy-Efficient Multi-Task NLP Edge Inference. Zirui Fu, Aleksandre Avaliani, Marco Donato |
| 2024 | Hyft: A Reconfigurable Softmax Accelerator with Hybrid Numeric Format for both Training and Inference. Tianhua Xia, Sai Qian Zhang |
| 2024 | JointNF: Enhancing DNN Performance through Adaptive N: M Pruning across both Weight and Activation. Sai Qian Zhang, Thierry Tambe, Gu-Yeon Wei, David Brooks |
| 2024 | LOCo: LPDDR Optimization with Compression and IECC scheme for DNN Inference. Jae-Youn Hong, Sungkyu Kim, Je-Woo Jang, Joon-Sung Yang |
| 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 | Low Overhead Logic Locking for System-Level Security: A Design Space Modeling Approach. Long Lam, Maksym Melnyk, Michael Zuzak |
| 2024 | LowPASS: A Low power PIM-based accelerator with Speculative Scheme for SNNs. Fangxin Liu, Shiyuan Huang, Longyu Zhao, Li Jiang, Zongwu Wang |
| 2024 | ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement. Vikram Gopalakrishnan, Bing-Yue Wu, Vidya Ashok Chhabria |
| 2024 | Magnet Free Inductive Wireless Power and Data Transmission System For Fully Implantable Cochlear Implants. Mert Dogan, Ayse Beyhan Türkyilmaz, Yasemin Engür, Haluk Külah |
| 2024 | OFHE: An Electro-Optical Accelerator for Discretized TFHE. Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang |
| 2024 | PACT: Accurate Power Analysis and Carbon Emission Tracking for Sustainability. Aditya Ukarande, Toygun Basaklar, Mingcong Cao, Ümit Y. Ogras |
| 2024 | PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers. Mohammad Erfan Sadeghi, Arash Fayyazi, Seyedarmin Azizi, Massoud Pedram |
| 2024 | ParaBase: A Configurable Parallel Baseband Processor for Ultra-High-Speed Inter-Satellite Optical Communications. Seungkyu Choi, Huanshihong Deng, Kuan-Yu Chen, Yufan Yue, David T. Blaauw, Hun-Seok Kim |
| 2024 | PiQi: Partially Quantized DNN Inference on HMPSoCs. Ehsan Aghapour, Yixian Shen, Dolly Sapra, Andy D. Pimentel, Anuj Pathania |
| 2024 | Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED 2024, Newport Beach, CA, USA, August 5-7, 2024 Pascal Meinerzhagen, Kapil Dev, Jerald Yoo |
| 2024 | Rapid Hardware/Software Design Space Exploration for Efficient Intermittent Systems. YoungBin Kim, Hyoseung Kim |
| 2024 | ReOVE: Restricted Out-of-Order Execution for Superscalar Processors with Vector Extension. Masayuki Kimura, Ryota Shioya |
| 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 |
| 2024 | STARC: Crafting Low-Power Mixed-Signal Neuromorphic Processors by Bridging SNN Frameworks and Analog Designs. Kyuseung Han, Hyunseok Kwak, Kwang-Il Oh, Sukho Lee, Hyeonguk Jang, Jae-Jin Lee, Woojoo Lee |
| 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 | Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments. Cheng-Yun Yang, Gowri Ramshankar, Nicholas Eliopoulos, Purvish Jajal, Sudarshan Nambiar, Evan Miller, Xun Zhang, Dave (Jing) Tian, Shuo-Han Chen, Chiy-Ferng Perng, Yung-Hsiang Lu |
| 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 | Statues: Energy-Efficient Video Object Detection on Edge Security Devices with Computational Skipping. Yeonggeon Kim, Hyunmin Kim, Sungju Ryu |
| 2024 | SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators. Shamik Kundu, Soumendu Kumar Ghosh, Arnab Raha, Deepak A. Mathaikutty |
| 2024 | Systolic Array Acceleration of Spiking Neural Networks with Application-Independent Split-Time Temporal Coding. Jeongjun Lee, Peng Li |
| 2024 | Triangle Counting in the Temporal Domain. Caroline Ellis Hammond, Patricia Gonzalez-Guerrero, Meriam Gay Bautista, Nirmalendu Bikash Patra |
| 2024 | Unleashing Flexibility of ML-based Power Estimators Through Efficient Development Strategies. Yao Lu, Qijun Zhang, Zhiyao Xie |
| 2024 | VisionHD: Towards Efficient and Privacy-Preserved Hyperdimensional Computing for Image Data. Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli |
| 2024 | X-IMM: Mixed-Signal Iterative Montgomery Modular Multiplication. Mehdi Kamal, Massoud Pedram |
| 2024 | Xyloni: Very Low Power Neural Network Accelerator for Intermittent Remote Visual Detection of Wildfire and Beyond. Jeffrey Chen, Sang-Woo Jun, Aditi Mundra, Jonathan Ta |
| 2024 | ePredictNet: Low Cost Error Prediction Neural Network. Georgios Chatzitsompanis, Georgios Karakonstantis |
| 2024 | iSPADE: End-to-end Sparse Architecture for Dense DNN Acceleration via Inverted-bit Representation. Dongjun Kim, Han Cho, Jongsun Park |