Paper Info
Title
Distributed Out-of-Core Stochastic Progressive Photon Mapping
Abstract
AbstractAt present, stochastic progressive photon mapping SPPM is one of the most comprehensive methods for a consistent global illumination computation. Even though the number of photons is unlimited due to their progressive nature, the scene size is still bound by the available main memory. In this paper, we present the first consistent out-of-core SPPM algorithm. In order to cope with large scenes, we automatically subdivide the geometry and parallelly trace photons and eye rays in a portal-based system, distributed across multiple machines in a commodity cluster. Moreover, modifications of the original SPPM method are introduced that keep both the utilization of tracer machines high and the network traffic low. Therefore, compared to a portal-based single machine setup, our distributed approach achieves a significant speedup. We compare a GPU-based with a CPU-based implementation and demonstrate our system in multiple large test scenes of up to 90 million triangles.
Year
DOI
Venue
2014
10.1111/cgf.12340
Periodicals
Keywords
Field
DocType
photon mapping,out-of-core rendering,global illumination
Computer vision,Photon,Computer science,Theoretical computer science,Out-of-core algorithm,Artificial intelligence,Global illumination,Photon mapping,Computation,Speedup
Journal
Volume
Issue
ISSN
33
6
0167-7055
Citations 
PageRank 
References 
5
0.43
23
Authors
2
Name
Order
Citations
PageRank
Tobias Günther1358.34
Thorsten Grosch248724.79