Standardized Data-Parallel Rendering Using ANARI
Ingo Wald, Stefan Zellmann, Jefferson Amstutz, Qi Wu and, Kevin Griffin, Milan Jaros, Stefan Wesner
TL;DR
This paper introduces a standardized data-parallel rendering paradigm compatible with the ANARI API, demonstrating its implementation and ease of adoption in scientific visualization applications.
Contribution
It proposes a new standard for data-parallel rendering with ANARI and provides multiple implementations and integration examples.
Findings
Easy adoption demonstrated through sample integrations
Enhanced data-parallel rendering capabilities
Potential for widespread standardization in sci-vis
Abstract
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-parallel sci-vis rendering, describe two different implementations of this paradigm, and use multiple sample integrations into existing apps to show how easy it is to adopt this paradigm, and what can be gained from doing so.
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · Advanced Vision and Imaging