Remote rendering for ultrascale data

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...

Applications for Ultrascale Computing

Studies of real complex physical and engineering problems represented by multiscale and multiphysics computer simulations have an increasing demand for computing power. The demand is driven by the increasing scales and complexity of the scientific problems investigated or the time constraints. Ultrascale computing systems could offer the computing power required to solve these problems. Future ...

ParaView Remote Rendering Guidelines

Optimizing expansion strategies for ultrascale cloud computing data centers

With the increasing popularity gained by cloud computing systems over the past few years, cloud providers have built several ultrascale data centers at a variety of geographical locations, each including hundreds of thousands of computing servers. Since cloud providers are facing rapidly increasing traffic loads, they must have proper expansion strategies for their ultrascale data centers. The ...

Remote Interactive Direct Volume Rendering of AMR Data

We describe a framework for direct volume rendering (DVR) of adaptive mesh refinement (AMR) data that operates directly on the hierarchical AMR grid structure, without the need to resample data onto a single uniform rectilinear grid. The framework can be used for a range of renderers optimized for particular hardware architectures: a hardwareassisted renderer for single-processor graphics works...