Parallel generation of architecture on the GPU

Handle URI:
http://hdl.handle.net/10754/563529
Title:
Parallel generation of architecture on the GPU
Authors:
Steinberger, Markus; Kenzel, Michael; Kainz, Bernhard K.; Müller, Jörg; Wonka, Peter ( 0000-0003-0627-9746 ) ; Schmalstieg, Dieter
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. © 2014 The Author(s) Computer Graphics Forum © 2014 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program; Visual Computing Center (VCC)
Publisher:
Wiley-Blackwell
Journal:
Computer Graphics Forum
Issue Date:
May-2014
DOI:
10.1111/cgf.12312
Type:
Article
ISSN:
01677055
Sponsors:
This research was funded by the Austrian Science Fund (FWF): P23329.
Appears in Collections:
Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSteinberger, Markusen
dc.contributor.authorKenzel, Michaelen
dc.contributor.authorKainz, Bernhard K.en
dc.contributor.authorMüller, Jörgen
dc.contributor.authorWonka, Peteren
dc.contributor.authorSchmalstieg, Dieteren
dc.date.accessioned2015-08-03T11:53:44Zen
dc.date.available2015-08-03T11:53:44Zen
dc.date.issued2014-05en
dc.identifier.issn01677055en
dc.identifier.doi10.1111/cgf.12312en
dc.identifier.urihttp://hdl.handle.net/10754/563529en
dc.description.abstractIn 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. © 2014 The Author(s) Computer Graphics Forum © 2014 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.en
dc.description.sponsorshipThis research was funded by the Austrian Science Fund (FWF): P23329.en
dc.publisherWiley-Blackwellen
dc.titleParallel generation of architecture on the GPUen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.identifier.journalComputer Graphics Forumen
dc.contributor.institutionGraz University of Technology, Austriaen
kaust.authorWonka, Peteren
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