Enabling Scientific Communities through ParaView
DescriptionParaView, an open source scientific visualization framework, turns 21 years old in 2023. It owes its success and longevity to a number of technical factors: its wealth of IO options, plethora of data processing filters, client/server architecture, HPC readiness, easy modularity and adaptation and much more. However, being an open source tool, perhaps nothing has had more impact on the past, present and future of ParaView then its community. This talk will first be focused on defining who exactly comprises this community and what are its segments. We will then delve into how changes to the code are driven by its community so that ParaView remains consistently relevant in a mutating scientific landscape. Of particular note in this section is showing how certain members of the community transition from being passive users, attracted by capabilities of the tool, to active drivers of improvement of the ParaView framework, either through bug reporting, feature requests, maintenance or funding. Finally, we will go into the particularities of serving the scientific community and how this allows ParaView to consistently push its boundaries and continue to be relevant in an HPC setting.
TimeMonday, June 2614:30 - 15:00 CEST
Computer Science, Machine Learning, and Applied Mathematics