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training:scivis:2023:scriptingworkflows [2023/09/11 06:47] – James Kresstraining:scivis:2023:scriptingworkflows [2023/10/08 14:21] (current) – James Kress
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 <WRAP center round box download 100%>  <fs:26px>** Workshop Materials**</fs> <WRAP center round box download 100%>  <fs:26px>** Workshop Materials**</fs>
-  * Slides: +  * Slides: [[https://download.vis.kaust.edu.sa/pub/workshops/2023/SciVis210Workflows/scivis210-hpcWorkflows.pdf|Slides]]
-  * Datasets:+
 </WRAP>  </WRAP> 
  
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     * ParaView version 5.11.1 is required for the workshop. You can download it from [[https://www.paraview.org/download/|ParaView]].     * ParaView version 5.11.1 is required for the workshop. You can download it from [[https://www.paraview.org/download/|ParaView]].
   * Alternatively, you can use the IT provided [[http://myws.kaust.edu.sa/|remote workstations]] in case you do not have VisIt or ParaView installed (you have to request the service the first time you use it [[https://kaustforms.formstack.com/forms/remote_workstation_account|here]])   * Alternatively, you can use the IT provided [[http://myws.kaust.edu.sa/|remote workstations]] in case you do not have VisIt or ParaView installed (you have to request the service the first time you use it [[https://kaustforms.formstack.com/forms/remote_workstation_account|here]])
 +    * Note: IT Remote Workstations do not allow ParaView or VisIt to connect to Ibex.
 </WRAP>  </WRAP> 
  
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 ===== Overview ===== ===== Overview =====
  
-Visualization experts from the laboratory will discuss scripting and supercomputing workslows at KAUST using [[https://www.paraview.org/|ParaView]] and [[https://visit-dav.github.io/visit-website/|VisIt]]. ParaView and VisIt are highly-scalable, open-source, multi-platform data analysis and visualization applications. ParaView and VisIt users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D. Attendees will participate in a hands-on session working with ParaView and VisIt to create 3D visualizations of scientific datasets. +Visualization experts from the laboratory will discuss scripting and supercomputing workflows at KAUST using [[https://www.paraview.org/|ParaView]] and [[https://visit-dav.github.io/visit-website/|VisIt]]. ParaView and VisIt are highly-scalable, open-source, multi-platform data analysis and visualization applications. ParaView and VisIt users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D. Attendees will participate in a hands-on session working with ParaView and VisIt to create 3D visualizations of scientific datasets. 
  
 ParaView and VisIt are essential tools for scientific visualization, especially for large datasets.  They are professional-quality, user-friendly software that are packed with advanced functionality.  They were developed to analyze extremely large datasets (using distributed memory and parallel computing resources); but, their special super-power is that they grow with the user's data, running great on the laptop, the workstation, the cluster (Ibex), and the supercomputer (Shaheen). Visualization and analytic pipelines created in ParaView and VisIt at the start of your project will continue to work efficiently even as the amount of data produced continues to grow. ParaView and VisIt are essential tools for scientific visualization, especially for large datasets.  They are professional-quality, user-friendly software that are packed with advanced functionality.  They were developed to analyze extremely large datasets (using distributed memory and parallel computing resources); but, their special super-power is that they grow with the user's data, running great on the laptop, the workstation, the cluster (Ibex), and the supercomputer (Shaheen). Visualization and analytic pipelines created in ParaView and VisIt at the start of your project will continue to work efficiently even as the amount of data produced continues to grow.

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training/scivis/2023/scriptingworkflows.1694414860.txt.gz · Last modified: 2023/09/11 06:47 by James Kress
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