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DTSTAMP:20260706T083514Z
UID:287fd838-f6ff-4199-8f11-c0c0e3b22924
DTSTART:20200924T073000Z
DTEND:20200924T143000Z
DESCRIPTION:Annotation\n\nThe course  will focus on visualization of scien
 tific data  that can come from simulations of different physical phenomena
  (e.g. fluid dynamics\, structural analysis\, etc.). To create visually pl
 easing outputs of such data a path tracing rendering method will be used. 
 All of the course aspects will be covered within the popular 3D creation s
 uite Blender. We will work with the 2.8 version and introduce two of our p
 lug-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 t
 he course we will demonstrate some of the basics of Blender\, followed by 
 a data visualization example\, and we will finish the course with renderin
 g of a created scene on a supercomputing cluster.\n\nThis course\, postpon
 ed from April 2020\, due to the COVID-19 pandemic\, is an enriched rerun o
 f a successful training from 2019.\n\nNOTE: The organization of the course
  will be adapted to the current COVID-19 regulations and participants must
  comply with them. In case of the forced reduction of the number of partic
 ipants\, earlier registrations will be given priority.\n\nLevel\n\nBeginne
 r\n\nLanguage\n\nEnglish\n\nPurpose of the course (benefits for the atten
 dees)\n\nAttendees will learn how to visualize different simulation data i
 n Blender and how to provide visually pleasing outputs with help of a clus
 ter.\n\nAbout the tutor(s)\n\nPetr Strakoš obtained his Ph.D. from CTU (t
 he Czech Technical University in Prague) in Mechanical Engineering. Now he
  is a member of the Infrastructure Research Lab and the VaVR (Visualizatio
 n and Virtual Reality) group\, where he focuses on research in the area of
  visualization\, image processing\, and efficient utilization of these top
 ics on a cluster. He also cooperates with partners from industry and other
  institutions in applied research.\n\nMilan Jaroš is a researcher in the 
 Infrastructure Research Lab at IT4Innovations. He has nine years of experi
 ence in professional programming (C++\, C#\, Java\, etc.). He has develope
 d several pieces of commercial software (including mobile applications). I
 n recent years he has been focusing on research in the area of HPC computi
 ng (including support of GPU and Intel Xeon Phi coprocessor)\, processing 
 of medical images\, and visualizations of engineering data (virtual realit
 y\, rendering\, post-processing of CFD calculation\, etc.). He is a co-dev
 eloper of plugins for multiple pieces of software (Blender\, COVISE/OpenCO
 VER\, Unity\, etc.).\n\nAlena Ješko is a researcher in the Infrastructure
  Research Lab at IT4Innovations. She has worked on mesh transformation top
 ics for cranial orthosis design and photogrammetry for treating orbital fr
 actures. She has recently started to work on AI and Machine Learning in Im
 age Processing.\n\nAcknowledgements\n\nThis event was partially supported 
 by The Ministry of Education\, Youth and Sports from the Large Infrastruct
 ures for Research\, Experimental Development and Innovations project "e-In
 frastruktura CZ – LM2018140“ and partially by the PRACE-6IP project - 
 the European Union’s Horizon 2020 research and innovation programme unde
 r grant agreement No. 823767. This work was also partially supported by th
 e SGC grant No. SP2020/21 "Infrastructure research and development of HPC 
 libraries and tools II"\, VŠB - Technical University of Ostrava\, Czech R
 epublic.\nhttps://events.prace-ri.eu/event/1013/
SUMMARY:Parallel Visualization of Scientific Data using Blender @ IT4Innova
 tions
URL;VALUE=URI:https://events.prace-ri.eu/event/1013/
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