27 citations · 109 across the 24 of their papers we have counts for
4 papers · 1 filter
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…
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…
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors
Jie Liu, Jiawen Liu, Zhen Xie +1
How to accurately and efficiently label data on a mobile device is critical for the success of training machine learning models on mobile devices. Auto-labeling data on mobile devi…
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems
Ivy Peng, Kai Wu, Jie Ren +2
The emergence of high-density byte-addressable non-volatile memory (NVM) is promising to accelerate data- and compute-intensive applications. Current NVM technologies have lower pe…