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Data-Parallel Rendering with the ANARI Standard in Scientific Visualization

How large simulation datasets that exceed a single node's memory are rendered interactively on HPC systems by distributing the data across MPI ranks and ray tracing it in place, using the Khronos ANARI API's data-parallel conventions (DP-ANARI). Covers why rays must be batched and cycled between ranks to resolve visibility and shadows across distributed data, and how this design trades scalability for arbitrary data distributions that match the simulation's own layout.

John Cavil Text

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI Stefan Zellmann

3D visualization and rendering in HPC are very heterogenous applications, though fundamentally the tasks involved are well-defined and do not differ much from application to application. The Khronos …