Equalizer 2.0–Convergence of a Parallel Rendering Framework
| Autor: | Renato Pajarola, David Steiner, Stefan Eilemann |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Parallel rendering
Computer science business.industry OpenGL 020207 software engineering 02 engineering and technology Virtual reality Computer Graphics and Computer-Aided Design Rendering (computer graphics) Visualization Computer engineering Application domain Signal Processing Scalability 0202 electrical engineering electronic engineering information engineering System integration Computer Vision and Pattern Recognition Graphics business Software |
| Zdroj: | IEEE Transactions on Visualization and Computer Graphics. 26:1292-1307 |
| ISSN: | 2160-9306 1077-2626 |
| DOI: | 10.1109/tvcg.2018.2870822 |
| Popis: | 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 $\mathsf{Equalizer}$ 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 $\mathsf{Equalizer}$ 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. |
| Databáze: | OpenAIRE |
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