Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations

Simple item page
dc.contributor.authorPugmire, Daviden_US
dc.contributor.authorChoi, Jong Y.en_US
dc.contributor.authorKlasky, Scotten_US
dc.contributor.authorMoreland, Kennethen_US
dc.contributor.authorSuchyta, Ericen_US
dc.contributor.authorAthawale, Tushar M.en_US
dc.contributor.authorWang, Zheen_US
dc.contributor.authorChang, Choong-Seocken_US
dc.contributor.authorKu, Seung-Hoeen_US
dc.contributor.authorHager, Roberten_US
dc.contributor.editorGillmann, Christinaen_US
dc.contributor.editorKrone, Michaelen_US
dc.contributor.editorReina, Guidoen_US
dc.contributor.editorWischgoll, Thomasen_US
dc.date.accessioned2024-05-21T08:53:15Z
dc.date.available2024-05-21T08:53:15Z
dc.date.issued2024
dc.description.abstractUnderstanding 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.en_US
dc.description.sectionheadersPapers
dc.description.seriesinformationVisGap - The Gap between Visualization Research and Visualization Software
dc.identifier.doi10.2312/visgap.20241120
dc.identifier.isbn978-3-03868-255-4
dc.identifier.pages7 pages
dc.identifier.urihttps://doi.org/10.2312/visgap.20241120
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/visgap20241120
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Scientific visualization; Visualization techniques; Applied computing → Physics
dc.subjectHuman centered computing → Scientific visualization
dc.subjectVisualization techniques
dc.subjectApplied computing → Physics
dc.titlePerformance Improvements of Poincaré Analysis for Exascale Fusion Simulationsen_US
Files
Collections
VisGap2024 - The Gap between Visualization Research and Visualization Software