| 2024 | ParaCkpt: Heterogeneous Multi-Path Checkpointing Mechanism for Training Deep Learning Models. | Shucheng Wang, Qiang Cao, Kaiye Zhou, Jun Xu, Zhandong Guo, Jiannan Guo |
| 2024 | A Quantum Method to Match Vector Boolean Functions using Simon's Solver. | Marco Venere, Alessandro Barenghi, Gerardo Pelosi |
| 2024 | Ensuring the Accuracy of CNN Accelerators Supplied at Ultra-Low Voltage. | Yamilka Toca-Daz, Ruben Gran Tejero, Alejandro Valero |
| 2024 | Tango: Low Latency Multi-DNN Inference on Heterogeneous Edge Platforms. | Zain Taufique, Aman Vyas, Antonio Miele, Pasi Liljeberg, Anil Kanduri |
| 2024 | ChaoSen: Security Enhancement of Image Sensor through in-Sensor Chaotic Computing. | Nedasadat Taheri, Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi |
| 2024 | FastMatch: Enhancing Data Pipeline Efficiency for Accelerated Distributed Training. | Jianchang Su, Masoud Rahimi Jafari, Yifan Zhang, Wei Zhang |
| 2024 | Multi-Stage Dynamic Cuckoo Filters. | Jun Su, Yinjin Fu, Nong Xiao |
| 2024 | Pseudo-Sim: An Accurate Analytical Modeling Framework for Systolic Array Architectures. | Dan Sturm, Sajjad Moazeni |
| 2024 | Mera: Memory Reduction and Acceleration for Quantum Circuit Simulation via Redundancy Exploration. | Yuhong Song, Edwin Hsing-Mean Sha, Longshan Xu, Qingfeng Zhuge, Zili Shao |
| 2024 | CoPIM: A Collaborative Scheduling Framework for Commodity Processing-in-memory Systems. | Shunchen Shi, Xueqi Li, Zhaowu Pan, Peiheng Zhang, Ninghui Sun |
| 2024 | Tutorial: Evolutionary Design Methods in Electronic Design Automation. | Luks Sekanina |
| 2024 | Reinforcement Learning-Driven Co-Scheduling and Diverse Resource Assignments on NUMA Systems. | Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz |
| 2024 | Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization. | Giuseppe Ruggeri, Renzo Andri, Daniele Jahier Pagliari, Lukas Cavigelli |
| 2024 | AutoSparse: A Source-to-Source Format and Schedule Auto- Tuning Framework for Sparse Tensor Program. | Xiangjun Qu, Lei Gong, Wenqi Lou, Qianyu Cheng, Xianglan Chen, Chao Wang, Xuehai Zhou |
| 2024 | ChameSC: Virtualizing Superscalar Core of a SIMD Architecture for Vector Memory Access. | Zhongzhu Pu, Guangda Zhang, Tiejian Zhang, Chen Zhang, Youhui Zhang, Xia Zhao |
| 2024 | Multi-Model Inference Composition of Hyperdimensional Computing Ensembles. | Flavio Ponzina, Rishikanth Chandrasekaran, Anya Wang, Seiji Minowada, Siddharth Sharma, Tajana Rosing |
| 2024 | SATL: A Spatial Architecture Rapid Prototyping Framework for Irregular Applications Acceleration. | Francesco Peverelli, Alessandro Verosimile, Davide Conficconi, Andrea Damiani, Marco D. Santambrogio |
| 2024 | Persistent Spiral Storage. | Wenyu Peng, Tao Xie, Paul H. Siegel |
| 2024 | Private Tensor Freezing for an Efficient Federated Learning with Homomorphic Encryption. | Valentino Peluso, Erich Malan, Andrea Calimera, Enrico Macii |
| 2024 | Advanced Dynamic Scalarisation for RISC-V GPGPUs. | Matthew Naylor, Alexandre Joannou, A. Theodore Markettos, Paul Metzger, Simon W. Moore, Timothy M. Jones |
| 2024 | SLIDE-x-ML: System-Level Infrastructure for Dataset E-xtraction and Machine Learning Framework for High-Level Synthesis Estimations. | Vittoriano Muttillo, Vincenzo Stoico, Marco Santic, Giacomo Valente, Luigi Pomante, Daniele Frigioni |
| 2024 | A Prototype-Based Framework to Design Scalable Heterogeneous SoCs with Fine-Grained DFS. | Gabriele Montanaro, Andrea Galimberti, Davide Zoni |
| 2024 | HPA: A Hybrid Data Flow for PIM Architectures. | Sheng Ma, Yunping Zhao, Yuhua Tang, Yi Dai |
| 2024 | RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices. | Kam Chi Loong, Shihao Han, Sishuo Liu, Ning Lin, Zhongrui Wang |
| 2024 | Ventus: A High-performance Open-source GPGPU Based on RISC-V and Its Vector Extension. | Jingzhou Li, Kexiang Yang, Chufeng Jin, Xudong Liu, Zexia Yang, Fangfei Yu, Yujie Shi, Mingyuan Ma, Li Kong, Jing Zhou, Hualin Wu, Hu He |