Equalizer 2.0-Convergence of a Parallel Rendering Framework

Developing complex, real world graphics applications which leverage multiple GPUs and computers for interactive 3D rendering tasks is a complex task. It requires expertise in distributed systems and parallel rendering in addition to the application domain itself. We present a mature parallel renderi...

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Vydané v:IEEE transactions on visualization and computer graphics Ročník 26; číslo 2; s. 1292 - 1307
Hlavní autori: Eilemann, Stefan, Steiner, David, Pajarola, Renato
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States IEEE 01.02.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
cluster graphics
Compounds
Computer graphics
Computer networks
display walls
Domains
Equalizers
immersive environments
Industrial applications
Matrix decomposition
Parallel rendering
Rendering
Rendering (computer graphics)
scalable visualization
Task analysis
Task complexity
Three-dimensional displays
Transmission line matrix methods
Virtual reality
ISSN:1077-2626, 1941-0506, 1941-0506
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Popis
Shrnutí:Developing complex, real world graphics applications which leverage multiple GPUs and computers for interactive 3D rendering tasks is a complex task. It requires expertise in distributed systems and parallel rendering in addition to the application domain itself. We present a mature parallel rendering framework which provides a large set of features, algorithms and system integration for a wide range of real-world research and industry applications. Using the Equalizer parallel rendering framework, we show how a wide set of generic algorithms can be integrated in the framework to help application scalability and development in many different domains, highlighting how concrete applications benefit from the diverse aspects and use cases of Equalizer. We present novel parallel rendering algorithms, powerful abstractions for large visualization setups and virtual reality, as well as new experimental results for parallel rendering and data distribution.
Bibliografia:ObjectType-Article-1
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2018.2870822