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Equalizer 2.0 - Convergence of a Parallel Rendering Framework


Eilemann, Stefan; Steiner, David; Pajarola, R (2020). Equalizer 2.0 - Convergence of a Parallel Rendering Framework. IEEE Transactions on Visualization and Computer Graphics, 26(2):1292 -1307.

Abstract

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.

Abstract

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.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Signal Processing
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Computer Graphics and Computer-Aided Design
Uncontrolled Keywords:graphics, visualization, parallel rendering, distributed rendering
Language:English
Date:February 2020
Deposited On:26 Jan 2021 15:05
Last Modified:27 Jan 2021 21:01
Publisher:Institute of Electrical and Electronics Engineers
ISSN:1077-2626
OA Status:Green
Publisher DOI:https://doi.org/10.1109/TVCG.2018.2870822
Other Identification Number:merlin-id:20182

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