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dc.contributor.authorBiedert, Timen_US
dc.contributor.authorMessmer, Peteren_US
dc.contributor.authorFogal, Thomasen_US
dc.contributor.authorGarth, Christophen_US
dc.contributor.editorHank Childs and Fernando Cucchiettien_US
dc.date.accessioned2018-06-02T18:02:38Z
dc.date.available2018-06-02T18:02:38Z
dc.date.issued2018
dc.identifier.isbn978-3-03868-054-3
dc.identifier.issn1727-348X
dc.identifier.urihttp://dx.doi.org/10.2312/pgv.20181093
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pgv20181093
dc.description.abstractThe physical separation of compute resource and end user is one of the core challenges in HPC visualization. While GPUs are routinely used in remote rendering, a heretofore unexplored aspect is these GPUs' special purpose video en-/decoding hardware that can be used to solve the large-scale remoting challenge. The high performance and substantial bandwidth savings offered by such hardware enable a novel approach to the problems inherent in remote rendering, with impact on the workflows and visualization scenarios available. Using more tiles than previously thought reasonable, we demonstrate a distributed, lowlatency multi-tile streaming system that can sustain stable 80 Hz when streaming up to 256 synchronized 3840x2160 tiles and can achieve 365 Hz at 3840x2160 for sort-first compositing over the internet.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.2 [Computer Graphics]
dc.subjectGraphics Systems
dc.subjectDistributed/network graphics
dc.titleHardware-Accelerated Multi-Tile Streaming for Realtime Remote Visualizationen_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualization
dc.description.sectionheadersSession 2
dc.identifier.doi10.2312/pgv.20181093
dc.identifier.pages33-43


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