Synchronous Remote Rendering for VR

Remote rendering for ultrascale data

The mission of the SciDAC Institute for Ultrascale Visualization is to address the upcoming petascale visualization challenges. As we move to petascale computation, we are seeing a trend not only in the growth but also in the consolidation of computing resources. As the distances between user and petascale visualization resources grow, the expected performance of the network degrades, especiall...

VR-based Rendering Techniques for Large-scale Biomedical Data Sets

VR-based rendering of large-scale data sets is typically limited by timing and complexity constraints of the rendering engine. Decentralized rendering, such as accessing a large data repository over a network and rendering the image on the client side, causes problems due to the limited bandwidth of existing networks. We present a combination of octree space subdivision and wavelet compression ...

ParaView Remote Rendering Guidelines

A Network Architecture for Remote Rendering

Internet-based virtual environments (VEs) let users explore multiple virtual worlds with many different geometric models which are downloaded rather than predistributed. To avoid long download times, we have developed a method that optimally utilizes network bandwidth by downloading only the exact portion of geometry that is necessary for rendering. The solution is based on progressive geometry...

Remote Rendering Strategies for Large Biological Datasets

This paper presents remote rendering technologies to support the analysis and exploration of large biological datasets evaluated for a medium sized biology research institute. Reconstructed three-dimensional models and other data domains stored in a database are the foundation for the visualization. Remote Rendering via a web-based client enables a widespread access to the data with interactive...