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3D Rendering in the Cloud

Authors: Martin D. Carroll; Ilija Hadzic; William A. Katsak;

3D Rendering in the Cloud

Abstract

Many modern applications and window systems perform three-dimensional (3D) rendering. For a cloud system to support such applications, that 3D rendering must be performed in the cloud, because the end-user equipment cannot be relied upon to contain the necessary rendering hardware. All systems that perform 3D rendering in the cloud are faced with two fundamental and related problems: 1) How to enable an arbitrary number of users to produce rendered pixel streams, and 2) how to transfer those pixel streams out of the server's frame buffers and into one or more encoders, for transmission to the user. We have implemented a new form of display virtualization that solves both of these problems in a low-level and transparent manner. Using our display virtualization (which we call the virtual cathode ray tube controller (VCRTC)), the cloud system can support an arbitrary number of pixel streams (bounded only by memory and bandwidth resources), and it can dynamically associate those streams with encoders. VCRTCs are completely transparent to the applications: No application needs to be modified, recompiled, or even relinked to use VCRTCs. Because they are low-level and transparent, VCRTCs are also a general mechanism with utility beyond cloud systems. © 2012 Alcatel-Lucent.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
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