Hanqi Guo

FTK: Feature Tracking Kit

FTK is a library that scales, simplifies, and delivers feature tracking algorithms for scientific datasets. You may use FTK as ParaView plugins, Python bindings, or a command-line interface

vortexfinder2

vortexfinder2 provides tools to analyze and visualize vorticies in time-dependent Ginzburg-Landau (TDGL) superconductor simulation data. Output data from two simulation models are supported, namely GLGPU and Condor2. GLGPU and Condor2 are based on structured grid and unstructured grid, respectively.

The software is part of the OSCON (Optimizing Superconductor Transport Properties through Large-Scale Simulation) project for the Scientific Discovery through Advanced Computing Institutes.

Publications

  • Hanqi Guo, Tom Peterka, and Andreas Glatz
    In Situ Magnetic Flux Vortex Visualization in Time-Dependent Ginzburg-Landau Superconductor Simulations
    In Proceedings of IEEE Pacific Visualization Symposium (PacificVis '17), Seuol, Korea, April 18-21, pages 71-80, 2017.
    | DOI | PDF (11 MB) | Video (25 MB) | Github |

  • Hanqi Guo, Carolyn L. Phillps, Tom Peterka, Dmitry Karpeyev, and Andreas Glatz
    Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data
    IEEE Transactions on Visualization and Computer Graphics (VIS '15), 22(1):827-836, 2016.
    | DOI | PDF (3.8 MB) | Video (11 MB) | Video Preview | Github |

  • Carolyn L. Phillips, Hanqi Guo, Tom Peterka, Dmitry Karpeyev, and Andreas Glatz
    Tracking Vortices in Superconductors: Extracting Singularities from a Discretized Complex Scalar Field Evolving in Time
    Physical Reivew E, 93(023305), 2016.
    | DOI | PDF |

La Valse: Visual Analysis Tool for Fault Characterization of Supercomputers

La Valse is designed to visualize and analyze large-scale heterogeneous logs on supercomputers, in order to characterize faults. Currently, the tool provides a user interface to explore logs on IBM Blue Gene supercomputers.

Publication

  • Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, and Franck Cappello
    La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers
    In Proceedings of EuroGraphics Symposium on Parallel Graphics and Visualization (EGPGV '18), pages 91-100, Brno, Czech Republic, June 4, 2018.
    | DOI | PDF (2.8 MB) | Video (24 MB) | GitHub |