7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.DC2021★ 2 cited
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers
Yujing Ma, Florin Rusu, Kesheng Wu +1
Motivated by extreme multi-label classification applications, we consider training deep learning models over sparse data in multi-GPU servers. The variance in the number of non-zer…
cs.DC2020★ 2 cited
Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms
Yujing Ma, Florin Rusu
The widely-adopted practice is to train deep learning models with specialized hardware accelerators, e.g., GPUs or TPUs, due to their superior performance on linear algebra operati…
cs.DB2018★ 7 cited
Stochastic Gradient Descent on Highly-Parallel Architectures
Yujing Ma, Florin Rusu, Martin Torres
There is an increased interest in building data analytics frameworks with advanced algebraic capabilities both in industry and academia. Many of these frameworks, e.g., TensorFlow…