SIMD optimization of in-situ visualization system using particle data for visualization

Kawamura, Takuma 

I present the research result of "Remote Interactive In-Situ Visualization using Particle Data for Volume Visualization" supported by the Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures (JHPCN), 2017. With the increase of simulation scale, the conventional visualization process involving data transfer to the pre-post node requires a huge processing cost. To enable real-time visualization and analysis of large-scale simulations, an interactive In-Situ visualization system using particle data for visualization is optimized for the latest SIMD platforms such as XeonPhi, and FX100. Using this system, interactive visualization at runtime is enabled for batch processing simulations.