1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DC2023★ 1 cited
Oases: Efficient Large-Scale Model Training on Commodity Servers via Overlapped and Automated Tensor Model Parallelism
Shengwei Li, Zhiquan Lai, Dongsheng Li +5
Deep learning is experiencing a rise in large-scale models. Training large-scale models is costly, prompting researchers to train large-scale models on commodity servers that more…
cs.DL2017
Implementing Recommendation Algorithms in a Large-Scale Biomedical Science Knowledge Base
Jessica Perrie, Yanqi Hao, Zack Hayat +4
The number of biomedical research articles published has doubled in the past 20 years. Search engine based systems naturally center around searching, but researchers may not have a…