April 22, 2026
Online
America/Chicago timezone

ALCF Training Team

Register to join the April 22, 2026 ALCF Developer Session webinar, “Visualization at the ALCF: Beyond the Basics,” presented by ALCF’s Visualization and Data Analytics Team, to learn how advanced visualization techniques can help researchers better understand, interpret, and communicate scientific results from large-scale simulations.

While many scientific campaigns begin with large-scale simulations on HPC systems, the ultimate objective is to understand, interpret, and communicate the results effectively. Visualization is essential to that process, transforming complex data into insight and enabling researchers to explore, analyze, and share their discoveries.

In this session, ALCF’s Visualization and Data Analytics Team will share practical strategies for presenting simulation data in clear and informative ways, highlighting a range of tools and techniques for creating visualizations that go beyond the basics. Topics will include generating camera paths, applying advanced ray-traced rendering methods, and using frameworks for in situ visualization so data can be explored while the simulation is still running.

ALCF Visualization and Data Analytics Team

  • Mengjiao Han, Postdoctoral Fellow, ALCF
  • Joseph Insley, Visualization and Data Analytics Team Lead, ALCF
  • Janet Knowles, Principal Software Development Specialist, ALCF
  • Victor Mateevitsi, Computer Scientist, ALCF
  • Silvio Rizzi, Computer Scientist, ALCF

 

The ALCF Visualization and Data Analytics Team draws on its combined expertise in computer science, data visualization, and art, and works closely with facility users from a wide range of scientific domains to develop cutting-edge visualizations that provide insight into large-scale simulation data. The team is always looking for new facility user teams to assist and collaborate with on their science campaigns.

Conference information

Date/Time

Starts

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All times are in America/Chicago

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Online
Virtual meeting information to follow
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