ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView’s batch processing capabilities. ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of exascale size as well as on laptops for smaller data.
Catalyst is an open-source data analysis and visualization library designed to be tightly coupled with simulation codes. It can be directly embedded into parallel simulation codes to perform in situ analysis at run time. Catalyst leverages the Visualization Toolkit (VTK) for scalable data analysis and visualization. Furthermore, it can be coupled with the ParaView In Situ Analysis Framework to perform run-time visualization of data extracts and steering of the data analysis pipeline.
Cinema is an open-source, novel framework built on top of ParaView that couples processing exporters and a client user interface for output analysis using images or other types of reduced data. Cinema captures images based on several camera positions and filter configurations.
BEE is a framework for creating build and execution environments. BEE environments can be run anywhere, reproducibly.
The Portable Data-Parallel Visualization and Analysis Library (also referred to as PISTON) is a cross-platform software library providing frequently used operations for scientific visualization and analysis. The algorithms for these operations are specified in a data-parallel way. By using nVidia’s freely downloadable Thrust library and our own tools, we can generate executable codes for different acceleration hardware architectures (GPUs and multi-core CPUs) from a single version of source code. The library is designed to be extensible and is intended to be integrated into other visualization applications.
Working with COSIM climate modelers at LANL artist Francesca Samsel and the Data Science at Scale Team developed colormaps that enable scientists to see more detail within their simulations. The colormaps move through changes in hue, saturation and value to create a longer line through colorspace. The maps have been user tested for their ability to show even and accurate detail. Details for the colormaps are available at the ‘More Information’ link below. A number of these colormaps will be incorporated by Kitware into the next release of ParaView as discussed at the ‘External Information’ link below. The new colormaps draw a longer line through color space by independently specified H, S, and V values. Some maps have 20 control points, others over 40. Removing some control points, as long as you are adjusting in LAB space, is fine, but you will lose some of the detailed color contrast which is what makes these maps effective.