In situ magnetic flux vortex visualization in time-dependent Ginzburg-Landau superconductor simulations
2017 IEEE Pacific Visualization Symposium (PacificVis) (2017)
Seoul, South Korea
April 18, 2017 to April 21, 2017
Hanqi Guo , Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA
Tom Peterka , Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA
Andreas Glatz , Materials Science Division, Argonne National Laboratory, Lemont, IL, USA
We present an in situ visualization framework to capture comprehensive details of vortex dynamics in superconductor simulations. Vortices, which determine all electromagnetic properties of type-II superconductors, are extracted and tracked at the same time with GPU-based time-dependent Ginzburg-Landau superconductor simulations. The in situ workflow involves three parts: (1) a tightly coupled GPU-accelerated algorithm that detects primitives for ambiguity-free vortex tracking, (2) a loosely coupled task-parallel feature-tracking method, and (3) a web-based remote visualization tool for vortex dynamics analysis. Our design minimizes the data movement and storage, maximizes the resource utilization, and reduces the slowdown of the simulation. Our solution captures all vortex dynamics in the simulation, previously impossible with traditional post hoc methods. We also demonstrate in situ visualization cases that help scientists understand how vortices cut each other and recombine into new vortices, which are directly related to energy dissipation of superconducting materials.
Feature extraction, Algorithm design and analysis, Analytical models, High-temperature superconductors, Visualization, Computational modeling, Superconducting transmission lines
H. Guo, T. Peterka and A. Glatz, "In situ magnetic flux vortex visualization in time-dependent Ginzburg-Landau superconductor simulations," 2017 IEEE Pacific Visualization Symposium (PacificVis)(PACIFICVIS), Seoul, South Korea, 2017, pp. 71-80.