YouTubeIn this tutorial video Prof. G. Boiger of ZHAW_ICP demonstrates how to record and modify a Python script such that it can be used for automated Paraview - based post-processing using Kaleidosim cloud software. The demo-case is an OpenFOAM run using simpleFoam solver on the classic 'Motorbike' tutorial case. Activating Paraview's 'Python Trace' function in order to track the workflow, simulation results are visualised and screen shots are stored. After recording, the Python utility is stored and then manually modified such as to allow it to be run more generically... e.g. within Kaleidosim's cloud-based virtual machines. Here are links to other, related tutorial videos to which the speaker refers: OpenFOAM & Kaleidosim: Introducing th...
International audienceUsing Virtual Reality (VR) to investigate visual processing is a growing trend...
Engineers, geoscientists, and analysts can benefit from fast, easy, and real-time immersive 3D visua...
Tutorial to simply set up your python environment, start processing and visualize 3D point cloud dat...
YouTubeThe Kaleidoscope Feature is introduced within the Kaleidosim cloud platform: Using a couple o...
YouTubeUsing a couple of relatively simple python utilities, OpenFoam simpleFoam solver and Kaleidos...
YouTubeThis is the second video (see first one here: https://youtu.be/6T08Li7gVqE ) about introducin...
YouTubeThis is a tutorial video in Prof. Gernot Boiger's series on OpenFOAM and the cloud computing...
The cloud-computing software KaleidoSim has been developed. While the current web-platform focuses o...
The main objective is the development of a GUI (Graphical User Interface) for the Computational Flui...
In this documentation, we will provide some basic and intermediate information about visualization t...
In the ESiWACE Center of Excellence the Earth System Data Middleware (ESDM) provides a data model th...
In this documentation, we will provide some basic and intermediate information about visualization t...
In research and development (R&D), interactive computing environments are a frequently employed alte...
As the computational power available increases at approximately constant speed it has become feasibl...
## Capabilities - Run VTK filter pipeline at post-timestep to write out - Reduced / analysed data...
International audienceUsing Virtual Reality (VR) to investigate visual processing is a growing trend...
Engineers, geoscientists, and analysts can benefit from fast, easy, and real-time immersive 3D visua...
Tutorial to simply set up your python environment, start processing and visualize 3D point cloud dat...
YouTubeThe Kaleidoscope Feature is introduced within the Kaleidosim cloud platform: Using a couple o...
YouTubeUsing a couple of relatively simple python utilities, OpenFoam simpleFoam solver and Kaleidos...
YouTubeThis is the second video (see first one here: https://youtu.be/6T08Li7gVqE ) about introducin...
YouTubeThis is a tutorial video in Prof. Gernot Boiger's series on OpenFOAM and the cloud computing...
The cloud-computing software KaleidoSim has been developed. While the current web-platform focuses o...
The main objective is the development of a GUI (Graphical User Interface) for the Computational Flui...
In this documentation, we will provide some basic and intermediate information about visualization t...
In the ESiWACE Center of Excellence the Earth System Data Middleware (ESDM) provides a data model th...
In this documentation, we will provide some basic and intermediate information about visualization t...
In research and development (R&D), interactive computing environments are a frequently employed alte...
As the computational power available increases at approximately constant speed it has become feasibl...
## Capabilities - Run VTK filter pipeline at post-timestep to write out - Reduced / analysed data...
International audienceUsing Virtual Reality (VR) to investigate visual processing is a growing trend...
Engineers, geoscientists, and analysts can benefit from fast, easy, and real-time immersive 3D visua...
Tutorial to simply set up your python environment, start processing and visualize 3D point cloud dat...