Paraview at OLCF, Sep 15, 2022
This tutorial, presented by OLCF and open to NERSC users, targets ParaView beginners who want to gain a new data and visualization tool to use on HPC systems.
Date and Time
September 15, 2022, 10:00am-12:00pm PDT
ParaView is an open-source, multi-platform data analysis and visualization application that allows users to quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView’s batch processing capabilities. ParaView was developed to analyze extremely large datasets using distributed memory computing resources.
OLCF provides ParaView server installs on Andes and Summit to facilitate large scale distributed visualizations. The ParaView server running on Andes and Summit may be used in a headless batch processing mode or be used to drive a ParaView GUI client running on your local machine.
This beginner friendly event will provide an overview of how to access ParaView at OLCF and a tutorial of how to use ParaView to visualize different datasets on Andes.
Due to the nature of ParaView on our systems, only OLCF users attached to Moderate Security Enclave projects (able to access systems like Andes and Summit) can access the tutorial datasets already downloaded on our filesystem. Non-OLCF users are welcome to sign-up, attend the virtual presentations, and encouraged to download the public datasets for themselves (see below).
Active participation during the event is not required, as the tutorial examples can be followed after attending (it is recommended to follow along with the video recording after the event). However, if indicated on the registration form, Slack support will be provided for OLCF users that want to try and follow along during the event. Both the examples and datasets will continue to be available after the event for all Moderate users to access and work with on their own.
- Asteroid Impacts (IEEE SciVis Contest 2018): Download Location
- Particle Ensembles (IEEE SciVis Contest 2016): Download Instructions