Table of Contents

Scientific Visualization 210: Introduction to In Situ Visualization

  Date

  • TBD
  • 1:30pm - 3:30pm (2 Hours)


  Venue

  • Building 1, Level 2, Desert Side
  • RM 2416 (MPR)



  Organizer

James Kress
Visualization Core Laboratory
james.kress@kaust.edu.sa

 Post hoc vs. in situ

Workshop Materials

How to Prepare?

Required Hardware/Software:

  • Bring a laptop with Docker Desktop installed.
  • Intermediate Shell and Viz knowledge.

Review Prerequisite 101s:

Why In Situ? Stop Waiting for Your Data!

Are you tired of waiting hours for a simulation to finish, only to find out it crashed or the output isn't what you expected? In Situ Visualization is the game-changer. Instead of writing massive files to disk and processing them later (“Post-Hoc”), In Situ allows you to “peer inside” the memory of a running simulation. It’s like live-streaming your science. By processing data while it’s still “hot” in memory, you can:

  • Save 90%+ on storage costs by only saving the images or analysis you need.
  • Identify errors instantly—no more wasting compute time on failed runs.
  • Achieve Exascale performance—run analysis at the same scale as your simulation.

What We Will Do

This is an all-action, hands-on session. We aren't just talking about theory; we are running the code. Using a containerized Gray-Scott Reaction-Diffusion miniapp, we will spend the majority of our time in the terminal and ParaView, connecting live simulations to four powerhouse backends: ADIOS2, Catalyst, Ascent, and Kombyne.

Agenda

Time Topic Hands-On Focus
1:30pm In Situ Introduction: Why we move analysis to the data. Concepts
1:40pm Gray-Scott Launch: Deploying the Docker Container and writing VTK files. Hands-on
1:55pm Break (5 Minutes)
2:00pm Deep Dive 1: Catalyst & Ascent. 50% Discussion / 50% Hands-on
2:30pm Break (10 Minutes)
2:40pm Deep Dive 2: Kombyne & ADIOS2. 50% Discussion / 50% Hands-on
3:10pm Break (10 Minutes)
3:20pm Scale Up & Q/A: Moving from Docker to Ibex/Shaheen. Discussion
3:30pm Wrap Up