A comprehensive analysis and visualization set for all OMNIS™ meshing and solver products
For the most complex applications, a static image is not sufficient to fully understand the physics at stake.
Therefore OMNIS™/Post allows users to:
- Perform live co-processing of running simulations, monitoring solver convergence in real-time
- Render transient plots while the solver is running, thus greatly reducing disk space usage and data processing time.
- Time and space reconstruction from a harmonic solution
OMNIS™/Post uses a video game high-end graphical kernel, fully scriptable via a Python API, that is able to treat large datasets using distributed memory computing resources.
With its modern and intuitive user interface, the user can create color contours, iso-lines, vectors and many other types of plots from a cell-centered, vertex-based, lattice-based, or particles dataset.
As simulation problems have grown larger in size, co-processing becomes the most cost effective way to process the vast amounts of data generated. In a co-processing environment, analysis and visualization of intermediate results occur concurrently to the simulation itself.
This not only speeds-up the overall simulation time avoiding to read/write thousands of gigabytes on disk, but it also provides early insight into the simulation behavior in comparison to post-processing, where analysis and visualization are performed after the completion of the simulation.
To enable co-processing, however, intermediate data needs to be shared between simulation and data analysis, and some degree of coordination may be required to maintain the correctness of both simulation and data analysis. The OMNIS™ architecture that combines solvers and post-processors in the same environment, is optimized to perform such operations.
- Surface and 3D local value
- Color contour
- Cloud of particles
- Line chart
- Formula and operator derived quantities