29 citations · 127 across the 19 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.DC2019★ 4 cited
Distributed Machine Learning through Heterogeneous Edge Systems
Hanpeng Hu, Dan Wang, Chuan Wu
Many emerging AI applications request distributed machine learning (ML) among edge systems (e.g., IoT devices and PCs at the edge of the Internet), where data cannot be uploaded to…
cs.PF2019★ 5 cited
Characterizing Deep Learning Training Workloads on Alibaba-PAI
Mengdi Wang, Chen Meng, Guoping Long +4
Modern deep learning models have been exploited in various domains, including computer vision (CV), natural language processing (NLP), search and recommendation. In practical AI cl…
cs.LG2019★ 22 cited
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters
Yanghua Peng, Yixin Bao, Yangrui Chen +3
More and more companies have deployed machine learning (ML) clusters, where deep learning (DL) models are trained for providing various AI-driven services. Efficient resource sched…