activity
20232026
most citedImmersive ExaBrick: Visualizing Large AMR Data in the CAVE

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CE2026

Streami: An MPI Data-Parallel Library to Compute Field Lines on GPUs

Stefan Zellmann, Milan Jaros, Andrea Paris +2

We present Streami, an extensible GPU-accelerated library for the computation of field lines in fluid flows on high-performance computers. Streami acts as a thin layer used for bot…

cs.DC2026

RAFI -- A Ray/Work Forwarding Infrastructure for Data Parallel Multi-Node/Multi-GPU Computing

Ingo Wald, Serkan Demirci, Alper Sahistan +7

We present RaFI, a CUDA and MPI based software framework that simplifies the task of building GPU-enabled data-parallel software where rays or similar work items need to migrate be…

cs.GR2025

GPU Volume Rendering with Hierarchical Compression Using VDB

Stefan Zellmann, Milan Jaros, Jefferson Amstutz +1

We propose a compression-based approach to GPU rendering of large volumetric data using OpenVDB and NanoVDB. We use OpenVDB to create a lossy, fixed-rate compressed representation…

cs.GR2025

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 applic…

cs.GR2024

Standardized Data-Parallel Rendering Using ANARI

Ingo Wald, Stefan Zellmann, Jefferson Amstutz +4

We propose and discuss a paradigm that allows for expressing \emph{data-parallel} rendering with the classically non-parallel ANARI API. We propose this as a new standard for data-…

cs.GR2023

A Practical Guide to Implementing Off-Axis Stereo Projection Using Existing Ray Tracing Libraries

Stefan Zellmann, Jeff Amstutz

Virtual reality (VR) renderers driving CAVEs and similar immersive environments use the off-axis stereo camera model so that a tracked user can move freely in front of the projecti…

cs.GR2023★ 1 cited

Immersive ExaBrick: Visualizing Large AMR Data in the CAVE

Zhaoyang Wang, Stefan Wesner, Stefan Zellmann

Rendering large adaptive mesh refinement (AMR) data in real-time in virtual reality (VR) environments is a complex challenge that demands sophisticated techniques and tools. The pr…

cs.GR2023

Visual Analysis of Large Multi-Field AMR Data on GPUs Using Interactive Volume Lines

Stefan Zellmann, Serkan Demirci, Uğur Güdükbay

To visually compare ensembles of volumes, dynamic volume lines (DVLs) represent each ensemble member as a 1D polyline. To compute these, the volume cells are sorted on a space-fill…