output
20162026
most citedGAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

353 citations

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cs.DC2023★ 12 cited

Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads

Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris +1

Running multiple deep neural networks (DNNs) in parallel has become an emerging workload in both edge devices, such as mobile phones where multiple tasks serve a single user for da…

cs.DC2021★ 37 cited

DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device

Mario Almeida, Stefanos Laskaridis, Stylianos I. Venieris +2

Recently, there has been an explosive growth of mobile and embedded applications using convolutional neural networks(CNNs). To alleviate their excessive computational demands, deve…