High-Performance Computing (HPC) Visualization

The workshop on High-Performance Computing (HPC) Visualization will focusing on cutting-edge tools and techniques for handling the vast datasets produced by large-scale simulations and observational surveys in astrophysics and cosmology.

The growing complexity of astrophysical and cosmological data—whether from massive simulations or large-scale observational campaigns—requires powerful visualization tools to extract scientific insights. However, implementing these tools efficiently on diverse HPC platforms presents challenges such as hardware and software compatibility, scalability, and resource optimization.

This workshop will explore strategies to overcome these challenges and highlight recent advances in high-performance visualization, including:

Distributed visualization in heterogeneous architectures
Parallel cinematic volume visualization
In-situ visualization
Visualization methods for machine learning-assisted analysis
While the primary focus is on astrophysics and cosmology, these techniques have broad applications across other scientific domains dealing with large and complex datasets. We encourage participation from researchers and developers interested in state-of-the-art visualization methods.

00:00:00 Start
00:00:05 Scientific Discovery Using Representation Learning to Interpret the Largest Cosmological Simulations
00:58:50 Generalizing ICL Predictions Across Simulations: A Deep Learning Approach
01:52:37 Introduction to Data Visualization for Researchers
02:45:15 Cinematic Visualization of A&C Simulation Data with Blender

Видео High-Performance Computing (HPC) Visualization канала SPACE CoE