8 citations · 8 across the 1 of their papers we have counts for
2 papers
cs.DC2021★ 8 cited
BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training
Letian Zhao, Rui Xu, Tianqi Wang +5
The size of deep neural networks (DNNs) grows rapidly as the complexity of the machine learning algorithm increases. To satisfy the requirement of computation and memory of DNN tra…
cs.LG2019
FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters
Tong Geng, Tianqi Wang, Ang Li +2
Deep Neural Networks (DNNs) have revolutionized numerous applications, but the demand for ever more performance remains unabated. Scaling DNN computations to larger clusters is gen…