Parallel Visualization of Scientific Data using Blender (PTC course)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F20%3A10248904" target="_blank" >RIV/61989100:27740/20:10248904 - isvavai.cz</a>
Result on the web
<a href="https://events.it4i.cz/event/47/" target="_blank" >https://events.it4i.cz/event/47/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Parallel Visualization of Scientific Data using Blender (PTC course)
Original language description
The course focused on visualization of scientific data that can come from simulations of different physical phenomena (e.g. fluid dynamics, structural analysis, etc.). To create visually pleasing outputs of such data a path tracing rendering method was used. All of the course aspects was covered within the popular 3D creation suite Blender. We worked with the 2.8 version and introduce two of our plug-ins we have developed. The first one, called Covise Nodes is used to extend Blender capabilities to process scientific data. The second add-on is called Bheappe and it integrates cluster rendering in Blender. Within the course we demonstrated some of the basics of Blender, followed by a data visualization example, and we finished the course with rendering of a created scene on a supercomputing cluster.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů