Multiprocessor methods for computer graphics rendering
Multiprocessor methods for computer graphics rendering
A Sorting Classification of Parallel Rendering
IEEE Computer Graphics and Applications
IRIS performer: a high performance multiprocessing toolkit for real-time 3D graphics
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Hybrid sort-first and sort-last parallel rendering with a cluster of PCs
HWWS '00 Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
WireGL: a scalable graphics system for clusters
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Lightning-2: a high-performance display subsystem for PC clusters
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Chromium: a stream-processing framework for interactive rendering on clusters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Design and implementation of a large-scale hybrid distributed graphics system
EGPGV '02 Proceedings of the Fourth Eurographics Workshop on Parallel Graphics and Visualization
Net Juggler: Running VR Juggler with Multiple Displays on a Commodity Component Cluster
VR '02 Proceedings of the IEEE Virtual Reality Conference 2002
VR '03 Proceedings of the IEEE Virtual Reality 2003
Designing graphics architectures around scalability and communication
Designing graphics architectures around scalability and communication
WinSGL: software genlocking for cost-effective display synchronization under microsoft windows
EG PGV'06 Proceedings of the 6th Eurographics conference on Parallel Graphics and Visualization
A survey on projector-based PC clustered distributed-rendering large screen displays and techniques
ICEC'07 Proceedings of the 6th international conference on Entertainment Computing
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Commodity clusters offer the ability to deliver higher performance computer graphics at lower prices than traditional graphics supercomputers. Immersive virtual reality systems demand notoriously high computational requirements to deliver adequate real-time graphics, leading to the emergence of commodity clusters for immersive virtual reality. Such clusters deliver the graphics power needed by leveraging the combined power of several computers to meet the demands of real-time interactive immersive computer graphics.However, the field of commodity cluster-based virtual reality is still in early stages of development and the field is currently adhoc in nature and lacks order. There is no accepted means for comparing approaches and implementers are left with instinctual or trial-and-error means for selecting an approach.This paper provides a classification system that facilitates understanding not only of the nature of different clustering systems but also the interrelations between them. The system is built from a new model for generalized computer graphics applications, which is based on the flow of data through a sequence of operations over the entire context of the application. Prior models and classification systems have been too focused in context and application whereas the system described here provides a unified means for comparison of works within the field.