Pugmire, DavidChoi, Jong Y.Klasky, ScottMoreland, KennethSuchyta, EricAthawale, Tushar M.Wang, ZheChang, Choong-SeockKu, Seung-HoeHager, RobertGillmann, ChristinaKrone, MichaelReina, GuidoWischgoll, Thomas2024-05-212024-05-212024978-3-03868-255-4https://doi.org/10.2312/visgap.20241120https://diglib.eg.org/handle/10.2312/visgap20241120Understanding 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.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing → Scientific visualization; Visualization techniques; Applied computing → PhysicsHuman centered computing → Scientific visualizationVisualization techniquesApplied computing → PhysicsPerformance Improvements of Poincaré Analysis for Exascale Fusion Simulations10.2312/visgap.202411207 pages