HPC Visualization with ParaView

4/23/2014 9:00 AM - 4/24/2014 12:00 PM

HPC Visualization with ParaView

The Visualization Core Laboratory is pleased to announce a 2-day course on HPC Visualization with ParaView, offered by Madhu Srinivasan & Shuaib Arshad, Visualization experts from the KAUST Visualization Core Laboratory. ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can 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 Python API.

ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data.


Please use your KAUST Username/Password to register here. The number of seats is limited, so please register early.  

NOTE: Due to the overwhelming response to the Workshop, we are unable to provide laptops for the participants. You are requested to bring your own laptop to the workshop. You can download software and data required for the workshop here:


The class will be divided into two half-day sessions. The topics planned to be covered are described below. Schedule will be confirmed as we get closer to the workshop dates.

Workshop Materials

Software and other resources for the workshop can be downloaded from here:

Session-1: Wednesday, April 23rd, 2014

Time: 9:00 am - 12:00 pm, 

Venue: Auditorium 0215, Level-0, Between Building 2 and 3 (Venue.pdfVenue.pdf)

Introduction to Scientific Visualization and Paraview

This session is targeted towards beginners and intermediate users of ParaView. An introduction to the ParaView GUI and Scientific Visualization will be offered and basic concepts of visualizing small to medium sized data would be demonstrated in a hands-on session. Different capabilities of ParaView with ultra-large datasets will also be explained (but not demonstrated) during this session.

  • [9:00-9:30am] Introduction to Scientific Visualization: [Madhu Srinivasan, Paul Riker]

  • [9:30-10:30am] Hands-on Paraview Tutorial: [Shuaib Arshad, Madhu Srinivasan]

  • [10:30-10:45am] Coffee Break

  • [11:15-12:00pm] Open, Hands-On Q&A Session

Session-2: Thursday, April 24th, 2014

Time: 9:00 am - 12:00 pm, 

Venue: Auditorium 0215, Level-0, Between Building 2 and 3 (Venue.pdfVenue.pdf)

Advanced Topics and Case Studies in HPC Visualization

Selected speakers will present their workflows and case studies to visualize multi-terabyte datasets. An introduction to distributed visualization & co-processing with ParaView will be presented as well.

  • [9:00-9:30am] Data formats: Shuaib Arshad

  • [9:30-10:00am] Distributed Visualization with Paraview: Madhu Srinivasan, Samar Aseeri

  • [10:00-10:30am] Co-processing with Paraview: Shuaib Arshad, Samar Aseeri

  • [10:30-10:45am] Coffee Break

  • [10:45-11:45am] Case Studies

    • [15 mins.] Scripting in Paraview using pvpython, Paul Arias

    • [15 mins.] Soot Visualization: Rendering Time-series data, Madhu Srinivasan.

    • [15 mins.] Visualizing EM Data from PyCLAW, Damian Alerigi

    • [15 mins.] Computational challenges in the CFD simulation of multiphase flow through porous media, Matteo Icardi

  • [11:45-12:00pm] Open Q&A Session.

For additional queries about this event, please contact Madhu Srinivasan ( or Shuaib Arshad (

Thank you, 

The Visualization Laboratory Core Lab