EGPGV19: Eurographics Symposium on Parallel Graphics and Visualization

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https://diglib.eg.org/handle/10.2312/2632789

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Browsing EGPGV19: Eurographics Symposium on Parallel Graphics and Visualization by Subject "I.3.2 [Computer Graphics]"

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    Hybrid Remote Visualization in Immersive Virtual Environments with Vistle
    (The Eurographics Association, 2019) Aumüller, Martin; Childs, Hank and Frey, Steffen
    Because of the spatial separation of high performance compute resources and immersive visualization systems, their combined use requires remote visualization. Remote rendering incurs increased latency from user interaction to display. For immersive virtual environments, this latency is a bigger problem than for desktop visualization. With hybrid remote visualization we enable the exploration of large-scale remote data sets from immersive virtual environments. This is based on three factors: When appropriate, we enable the local rendering of remote objects. We decouple local interaction from remote rendering as far as possible by depth compositing of remote and local images at a rate independent from remote rendering. Finally, we try to hide this latency by reprojecting 2.5D images for changed viewer positions. In this paper we describe the integration of hybrid remote rendering into the data-parallel visualization system Vistle as well its extension to a distributed system. Thereby arbitrary combinations of object-based and image-based remote visualization become possible.
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    Screen Partitioning Load Balancing for Parallel Rendering on a Multi-GPU Multi-Display Workstation
    (The Eurographics Association, 2019) Dong, Yangzi; Peng, Chao; Childs, Hank and Frey, Steffen
    Commodity workstations with multiple GPUs have been built by engineers and scientists for real-time rendering applications. As a result, a high display resolution can be achieved by connecting each GPU to a display monitor (resulting in a tiled large display). Using a multi-GPU workstation may not always produce a highly interactive rendering rate due to imbalanced rendering workloads among GPUs. In this work, we propose a parallel load balancing algorithm based on a screen partitioning strategy to dynamically balance the amount of vertices and triangles rendered by each GPU. Each GPU renders a screen region whose size may be different from the screen regions of other GPUs, but the amounts of vertices and triangles in those screen regions are balanced. It is possible that a screen region rendered by a GPU has to be displayed by another GPU. We propose a frame exchanging algorithm that allows GPUs to exchange screen regions efficiently. The inter-GPU communication overhead is very small since the data transferred between GPUs are a small amount of image pixels.