Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations

Abstract
Understanding the time-varying magnetic field in a fusion device is critical for the successful design and construction of clean-burning fusion power plants. Poincaré analysis provides a powerful method for the visualization of magnetic fields in fusion devices. However, Poincaré plots can be very computationally expensive making it impractical, for example, to generate these plots in situ during a simulation. In this short paper, we describe a collaboration among computer science and physics researchers to develop a new Poincaré tool that provides a significant reduction in the time to generate analysis results.
Description

CCS Concepts: Human-centered computing → Scientific visualization; Visualization techniques; Applied computing → Physics

        
@inproceedings{
10.2312:visgap.20241120
, booktitle = {
VisGap - The Gap between Visualization Research and Visualization Software
}, editor = {
Gillmann, Christina
and
Krone, Michael
and
Reina, Guido
and
Wischgoll, Thomas
}, title = {{
Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations
}}, author = {
Pugmire, David
and
Choi, Jong Y.
and
Klasky, Scott
and
Moreland, Kenneth
and
Suchyta, Eric
and
Athawale, Tushar M.
and
Wang, Zhe
and
Chang, Choong-Seock
and
Ku, Seung-Hoe
and
Hager, Robert
}, year = {
2024
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-255-4
}, DOI = {
10.2312/visgap.20241120
} }
Citation