EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture [0.03%]
基于Versal自适应计算加速平台架构的实时视觉变换器推理端到端加速的算法硬件协同设计（EQ-ViT）
Peiyan Dong,Jinming Zhuang,Zhuoping Yang et al.
Peiyan Dong et al.
While Vision Transformers (ViTs) have shown consistent progress in computer vision, deploying them for real-time decision-making scenarios (< 1 ms) is challenging. Current computing platforms like CPUs, GPUs, or FPGA-based solutions struggl...
Zhenge Jia,Tianren Zhou,Zheyu Yan et al.
Zhenge Jia et al.
Federated learning (FL) has been widely adopted in IoT-enabled health monitoring on biosignals thanks to its advantages in data privacy preservation. However, the global model trained from FL generally performs unevenly across subjects sinc...
Joshua Potter,William H Grover,Philip Brisk
Joshua Potter
The low cost, simplicity, and ease of use of paper microfluidic devices have made them valuable medical diagnostics for applications from pregnancy testing to COVID-19 screening. Meanwhile, the increasing complexity of paper-based microflui...
Floorplanning with I/O Assignment via Feasibility-Seeking and Superiorization Methods [0.03%]
基于可行性和超强化方法的I/O分配下的布局规划问题研究
Shan Yu,Yair Censor,Guojie Luo
Shan Yu
The feasibility-seeking approach offers a systematic framework for managing and resolving intricate constraints in continuous problems, making it a promising avenue to explore in the context of floorplanning problems with increasingly heter...
CHEF: A Framework for Deploying Heterogeneous Models on Clusters with Heterogeneous FPGAs [0.03%]
Chef：在异构FPGA集群上部署异构模型的框架
Yue Tang,Yukai Song,Naveena Elango et al.
Yue Tang et al.
DNNs are rapidly evolving from streamlined single-modality single-task (SMST) to multi-modality multi-task (MMMT) with large variations for different layers and complex data dependencies among layers. To support such models, hardware system...