Parallel rendering with k-way replication
PVG '01 Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics
DDDDRRaW: A Prototype Toolkit for Distributed Real-Time Rendering on Commodity Clusters
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
A prototype of distributed molecular visualization on computational grids
Future Generation Computer Systems - Special issue: Computational chemistry and molecular dynamics
Functionality Distribution for Parallel Rendering
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
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We propose a novel work partitioning technique, Image Layer Decomposition (ILD), designed specifically to support distributed real-time rendering on commodity clusters. ILD has several advantages over previous partitioning algorithms for our targeted environment, including its compatibility with the use of hardware graphics accelerators, decoupling of communication bandwidth requirement from scene complexity, and reduced communication bandwidth growth as the system size increases. Furthermore, ILD tries to optimize the rendering of a sequence of frames (of an interactive application) instead of only individual frames. We simulate ILD using traces taken from a VRML viewer. Our results show that ILD can be expected to work well up to moderately sized clusters and to outperform sort-last, a common partitioning approach, because of its smaller communication bandwidth requirement.