Summary
yt started as a tool for visualizing data from astrophysical simulations, but it has evolved into a method for analyzing generic volumetric data. In this talk we will present yt 3.0, which includes an increased focus on inquiry-driven analysis and visualization, a sympy-powered unit system, a revised user interface, and the ability to scale to petabyte datasets and tens of thousands of cores.
Description
- What is yt?
- "Lingua-franca for astrophysical simulations"
- AGORA
- Some selections from the gallery
- 105 citations to the yt method paper
- Massively parallel
- Examples of large-scale calculations and visualizations performed with yt
- Usage data on XSEDE visualization resources
- Volumetric data analysis beyond astrophysics
- Neurodome, Whole-earth seismic wave data, Weather simulation data, Nuclear engineering, Radio astronomy
- ??? (insert your field here!)
- "Lingua-franca for astrophysical simulations"
- What's new in yt-3.0?
- Rewrite of data selection, i/o, and field detection and creation
- Octree and particle support (i.e., discrete points)
- Unit conversions and dimensional analysis baked into the codebase
- Rethinking the API, 'rebranding' the project
- Advanced volume rendering
- Growing the Community
- The gallery
- Workshops
- Contributor statistics.
- The future
- New data styles
- Unstructured meshes
- Finite element analysis
- Spectral codes
- New domain-specific functionality (beyond astrophysics)
- Browser GUIs powered by IPython
- New data styles