no code implementations • 1 Aug 2019 • Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka
We propose InSituNet, a deep learning based surrogate model to support parameter space exploration for ensemble simulations that are visualized in situ.
no code implementations • 13 Sep 2021 • Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka
Second, we propose a workload estimation model, helping RL agents estimate the workload distribution of processes in future computations.
no code implementations • 23 Mar 2022 • David Lenz, Raine Yeh, Vijay Mahadevan, Iulian Grindeanu, Tom Peterka
B-spline models are a powerful way to represent scientific data sets with a functional approximation.
1 code implementation • 16 Jul 2023 • Skylar Wolfgang Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka
We address this shortcoming with an adaptively placed multi-grid SRN (APMGSRN) and propose a domain decomposition training and inference technique for accelerated parallel training on multi-GPU systems.
1 code implementation • 16 Jul 2023 • Skylar Wolfgang Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Our approach takes a vector field as input and trains an implicit neural representation to learn a stream function for that vector field.