Parallel rendering

Big Data Techniques and Security

Published in Rakesh M. Verma, David J. Marchette, Cybersecurity Analytics, 2019

For scientific data visualization, there is VisIt,10 which is an “open source, interactive, scalable, visualization, animation and analysis tool. Users can interactively visualize and analyze data ranging in scale from small (<10 core) desktop-sized projects to large (>100, 000 core) leadership-class computing facility simulation campaigns. Users can quickly generate visualizations, animate them through time, manipulate them with a variety of operators and mathematical expressions, and save the resulting images and animations for presentations.” Wu et al. [497] have designed VisIt-OSPRay, a high-performance, hybrid-parallel rendering system in VisIt, using OSPRay (a CPU ray tracing framework), IceT (a distributed computing framework built on Java), and PIDX for parallel I/O.

A binocular parallel rendering method for VR globes

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Journal Information

Published in International Journal of Digital Earth, 2020

Wumeng Huang, Jing Chen, Mengyun Zhou

Through the binocular parallel rendering model in section 3.1, we achieve binocular parallel rendering of VR globes. Although this parallel rendering manner can effectively improve the rendering efficiency of VR globes, it does not resolve the problem of inconsistent binocular scene resolution caused by the different viewpoint positions for the left and right cameras of VR. Therefore, it is necessary to design a binocular scene resolution synchronization algorithm on the basis of the binocular rendering model. Tile quad-tree scene resolution synchronization algorithm

Parallel rendering

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Big Data Techniques and Security

A binocular parallel rendering method for VR globes