Parallel Visualization of Scientific Data using Blender (PTC course)
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Parallel Visualization of Scientific Data using Blender (PTC course)
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Parallel Visualization of Scientific Data using Blender (PTC course)
Popis výsledku anglicky
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.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/LM2018140" target="_blank" >LM2018140: e-Infrastruktura CZ</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů