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Equalizer 2.0–Convergence of a Parallel Rendering Framework
IEEE Transactions on Visualization and Computer Graphics ( IF 5.2 ) Pub Date : 2018-09-17 , DOI: 10.1109/tvcg.2018.2870822
Stefan Eilemann , David Steiner , Renato Pajarola

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.

中文翻译:

均衡器2.0 –并行渲染框架的融合

开发利用多个GPU和计算机执行交互式3D渲染任务的复杂的,现实世界的图形应用程序是一项复杂的任务。除了应用程序域本身之外,它还需要分布式系统和并行渲染方面的专业知识。我们提供了一个成熟的并行渲染框架,该框架为大量现实世界的研究和行业应用提供了一大套功能,算法和系统集成。使用$ \ mathsf {均衡器} $均衡器 并行渲染框架,我们将展示如何将广泛的通用算法集成到框架中,以帮助许多不同领域的应用程序可伸缩性和开发,并着重强调具体应用程序如何从以下方面受益: $ \ mathsf {均衡器} $均衡器 。我们提出了新颖的并行渲染算法,用于大型可视化设置和虚拟现实的强大抽象,以及用于并行渲染和数据分发的新实验结果。
更新日期:2020-01-04
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