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Parallel visualization of scientific data using Blender (PTC course)

Date: 
Tue, 03/26/2019 - 9:30am
Registration deadline: 
Sun, 03/17/2019 - 11:00pm
Venue: 
VŠB - Technical University Ostrava, IT4Innovations building, room 207
Tutor: 
Petr Strakoš, Milan Jaroš, Alena Ješko (IT4Innovations)
Level: 
beginner-intermediate
Language: 
English

Annotation

Blender imageThe course will focus on visualization of large datasets 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 will be used. Most of the course aspects will be covered within the popular 3D creation suite Blender. We will work with the brand new version 2.8 and introduce our developed plug-in called Covise Nodes to work with the scientific data inside Blender. Within the course we will demonstrate some of the basics of Blender, followed by a data visualization example using the plug-in, and we will finish the course with rendering of the final scene on the Salomon cluster.

The course will be mainly hands-on.

Purpose of the course (benefits for the attendees)

Attendees will learn how to visualize different simulation data in Blender and how to provide visually pleasing outputs.

About the tutor(s)

Petr Strakoš obtained his Ph.D. from CTU (the Czech Technical University in Prague) in Mechanical Engineering. Now he is a member of the Infrastructure Research Lab and the VaVR (Visualization and Virtual Reality) group, where he focuses on research in the area of visualization, image processing, and efficient utilization of these topics on a cluster. He also cooperates with partners from industry and other institutions in applied research.

Milan Jaroš is a researcher in the Infrastructure Research Lab at IT4Innovations. He has nine years of experience in professional programming (C++, C#, Java, etc.). He has developed several pieces of commercial software (including mobile applications). In recent years he has been focusing on research in the area of HPC computing (including support of GPU and Intel Xeon Phi coprocessor), processing of medical images, and visualizations of engineering data (virtual reality, rendering, post-processing of CFD calculation, etc.). He is a co-developer of plugins for  multiple pieces of software (Blender, COVISE/OpenCOVER, Unity, etc.).

Alena Ješko is a researcher in the Infrastructure Research Lab at IT4Innovations. She has worked on mesh transformation topics for cranial orthosis design and photogrammetry for treating orbital fractures. She has recently started to work on AI and Machine Learning in Image Processing.

Preliminary agenda

 
9:30 – 10:00

Registration

10:00 – 12:00

Introduction

Blender basics

Hands-on

 lunch
13:00 – 14:30

Using Covise Nodes to work with scientific data

Hands-on

 coffee
15:00 – 16:30

Rendering of the final scene on the Salomon cluster

Hands-On

Q&A

Prerequisites

Basic knowledge of Linux and its terminal

Participants must bring their own laptops and mice. The best user experience with Blender is when using a full-size keyboard. Therefore, we will supply the attendees with keyboards.

Registration

Obligatory registration via the PRACE Events Portal and its registration form.

Capacity and Fees

25 participants. The event is provided free of charge.

Practicalities

  • See the links below for how to get to the campus of VŠB - Technical University Ostrava, and to the IT4Innovations building.
  • Documentation for IT4Innovations' computer systems is available at https://docs.it4i.cz/.

Remark

This training is a PRACE Training Centre (PTC) course, co-funded by the Partnership of Advanced Computing in Europe (PRACE). The main web page of the course is located on the PRACE Events Portal.

Acknowledgements

This course is supported by the PRACE-5IP project – the European Union's Horizon 2020 research and innovation programme under grant agreement No. 730913, and by The Ministry of Education, Youth and Sports from the Large Infrastructures for Research, Experimental Development and Innovations project "IT4Innovations National Supercomputing Center – LM2015070“.

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