27 citations · 36 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 27 cited
Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation
Wenqian Dong, Jie Liu, Zhen Xie +1
The Eulerian fluid simulation is an important HPC application. The neural network has been applied to accelerate it. The current methods that accelerate the fluid simulation with n…
eess.SP2020★ 9 cited
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation
Wenqian Dong, Zhen Xie, Gokcen Kestor +1
The optimal power flow (OPF) problem is one of the most important optimization problems for the operation of the power grid. It calculates the optimum scheduling of the committed g…
cs.PF2018
A Preliminary Study of Neural Network-based Approximation for HPC Applications
Wenqian Dong, Anzheng Guolu, Dong Li
Machine learning, as a tool to learn and model complicated (non)linear relationships between input and output data sets, has shown preliminary success in some HPC problems. Using m…