Optimizing Distributed DNN Training Using CPUs and BlueField-2 DPUs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Micro"
DOI: 10.1109/mm.2021.3139027
Abstract: The deep learning (DL) training process consists of multiple phases—data augmentation, training, and validation of the trained model. Traditionally, these phases are executed either on the central processing units or graphics processing units in a… read more here.
Keywords: training; bluefield dpus; distributed dnn; optimizing distributed ... See more keywords
Fast Edge Resource Scaling With Distributed DNN
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2025.3532365
Abstract: Network slicing has been proposed as a paradigm for 5G+ networks. The operators slice physical resources from the edge all the way to the datacenter, and are responsible to micro-manage the allocation of these resources… read more here.
Keywords: resource scaling; distributed dnn; dnn; fast edge ... See more keywords
Fine-Grained Elastic Partitioning for Distributed DNN Towards Mobile Web AR Services in the 5G Era
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2021.3098816
Abstract: Web-based Deep Neural Networks (DNNs) enhance the ability of object recognition and has attracted considerable attention in mobile Web AR and other services. However, neither performing the DNN inference on mobile Web browsers locally nor… read more here.
Keywords: fine grained; grained elastic; distributed dnn; web services ... See more keywords