Parallel generation of architecture on the GPU

Markus Steinberger, Michael Kenzel, Bernhard Kainz, Jörg Müller, Wonka Peter, Dieter Schmalstieg

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Abstract

In this paper, we present a novel approach for the parallel evaluation of procedural shape grammars on the graphics processing unit (GPU). Unlike previous approaches that are either limited in the kind of shapes they allow, the amount of parallelism they can take advantage of, or both, our method supports state of the art procedural modeling including stochasticity and context-sensitivity. To increase parallelism, we explicitly express independence in the grammar, reduce inter-rule dependencies required for context-sensitive evaluation, and introduce intra-rule parallelism. Our rule scheduling scheme avoids unnecessary back and forth between CPU and GPU and reduces round trips to slow global memory by dynamically grouping rules in on-chip shared memory. Our GPU shape grammar implementation is multiple orders of magnitude faster than the standard in CPU-based rule evaluation, while offering equal expressive power. In comparison to the state of the art in GPU shape grammar derivation, our approach is nearly 50 times faster, while adding support for geometric context-sensitivity.

Original languageEnglish (US)
Pages (from-to)73-82
Number of pages10
JournalComputer Graphics Forum
Volume33
Issue number2
DOIs
StatePublished - May 2014

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ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

Cite this

Steinberger, M., Kenzel, M., Kainz, B., Müller, J., Peter, W., & Schmalstieg, D. (2014). Parallel generation of architecture on the GPU. Computer Graphics Forum, 33(2), 73-82. https://doi.org/10.1111/cgf.12312