1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DC2023
Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs
Aodong Chen, Fei Xu, Li Han +4
GPUs have become the \emph{defacto} hardware devices for accelerating Deep Neural Network (DNN) inference workloads. However, the conventional \emph{sequential execution mode of DN…
cs.LG2020★ 1 cited
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
Yuanrui Dong, Peng Zhao, Hanqiao Yu +2
The emerging edge-cloud collaborative Deep Learning (DL) paradigm aims at improving the performance of practical DL implementations in terms of cloud bandwidth consumption, respons…