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cs.DC2026
EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge
Jiahe Cao, Xiaomeng Li, Qiang Liu +3
As edge computing expands, serving multiple deep neural network (DNN) models on a single shared GPU has become a common yet challenging scenario, where each scheduling decision aff…
cs.DC2022
DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices
Xueyu Hou, Yongjie Guan, Tao Han +1
As the number of edge devices with computing resources (e.g., embedded GPUs, mobile phones, and laptops) increases, recent studies demonstrate that it can be beneficial to collabor…