25 citations · 35 across the 2 of their papers we have counts for
2 papers
cs.DC2020★ 25 cited
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters
Shaohuai Shi, Xianhao Zhou, Shutao Song +21
Distributed training techniques have been widely deployed in large-scale deep neural networks (DNNs) training on dense-GPU clusters. However, on public cloud clusters, due to the m…
cs.DC2020★ 10 cited
A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent
Wanjing Wei, Yangzihao Wang, Pin Gao +2
Real-world node embedding applications often contain hundreds of billions of edges with high-dimension node features. Scaling node embedding systems to efficiently support these ap…