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UID:submissions.pasc-conference.org_PASC23_sess168@linklings.com
SUMMARY:MS4E - Scientific Visualization of Big Data
DESCRIPTION:Minisymposium\n\nData acquisition and computing systems have e
 volved to produce large amounts of data, but most of these datasets contai
 n small scale features that cannot be aggregated to be understood. While t
 hese small features are usually very hard to detect automatically, the hum
 an eye can do it almost instantly, provided that the data is presented in 
 a visually efficient way. Visualizing data in a human-readable way not onl
 y helps with data comprehensibility, but serves both data analysis and sci
 ence communication. However, visualization tools and techniques need to ke
 ep pace with both increasing data sizes and the diverse needs of the scien
 tific community. This is why a special effort towards developing automatic
  data visualization has been used since for as long as computing has exist
 ed, and it is getting more and more important in the present years. The mi
 nisymposium aims at gathering people working in the field of scientific bi
 g data visualization and researchers to discuss current needs and availabl
 e technologies to initiate new collaborations and ideas. It will probably 
 arise that across different fields, similar problems have to be solved, es
 pecially regarding performance and interface design. The minisymposium wil
 l motivate the mutualization of efforts needed to tackle those problems.\n
 \nIn-Situ Visualization Solutions Come to the Rescue\n\nScientific visuali
 zation and analysis are key ingredients in HPC simulation workflows. For d
 ecades, the dominant paradigm has been post-hoc visualization; simulation 
 codes iterate and save files to disk, giving the domain scientists the opp
 ortunity to read the data back at a later time. However, in ...\n\n\nJean 
 Favre (ETH Zurich / CSCS)\n---------------------\nHPC and Large Data Chall
 enges for Public Exhibitions\n\nHis presentation aims to address the chall
 enges of effectively presenting and communicating large data sets to a bro
 ad audience. In order to achieve this goal, we will focus on three main ar
 eas: quality of visualization, simplification and vulgarisation, and techn
 ical challenges. We will discuss the...\n\n\nSylvain Cardin (EPFL)\n------
 ---------------\nVisual Scientific Exploration at Blue Brain, and Beyond\n
 \nScientific exploration relies on building software that combines data in
 tegration, analysis and interactive visualization to build, modify and nav
 igate through large scientific datasets. For this, Blue Brain built and op
 en-sourced the Blue Brain BioExplorer. The Blue Brain BioExplorer was orig
 inally...\n\n\nCyrille Favreau (EPFL)\n---------------------\nVisualizing 
 the Entire Universe Using Open-Source Software\n\nThis talk will present a
 nd demonstrate the NASA funded open-source initiative, OpenSpace - a tool 
 for space and astronomy research and communication, as well as a platform 
 for visualization research. OpenSpace is a scalable software platform that
  paves the path for the next generation of public outr...\n\n\nAlexander B
 ock and Emma Broman (Linköping University)\n\nDomain: Computer Science, Ma
 chine Learning, and Applied Mathematics 
\n\nSession Chair: Florian Cabot 
 (EPFL)
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