8 citations · 16 across the 2 of their papers we have counts for
4 papers
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…
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing
Tong Geng, Ang Li, Runbin Shi +8
Deep learning systems have been successfully applied to Euclidean data such as images, video, and audio. In many applications, however, information and their relationships are bett…
Fully Integrated On-FPGA Molecular Dynamics Simulations
Chen Yang, Tong Geng, Tianqi Wang +8
The implementation of Molecular Dynamics (MD) on FPGAs has received substantial attention. Previous work, however, has consisted of either proof-of-concept implementations of compo…
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…