Feasibility Study of Graphics Rendering in Cloud
A locally rendered graphics is restricted by the local CPU and GPU capability. However, distributing rendering process across multiple CPUs will reduce rendering time. Map Reduce framework is originally developed by Google for the ease of web search applications on a large numbers of CPUs. With t...
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| Main Author: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Universiti Teknologi Petronas
2011
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| Online Access: | http://utpedia.utp.edu.my/7375/1/2011%20-%20Feasibility%20study%20of%20graphics%20rendering%20in%20cloud.pdf http://utpedia.utp.edu.my/7375/ |
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| Summary: | A locally rendered graphics is restricted by the local CPU and GPU capability.
However, distributing rendering process across multiple CPUs will reduce rendering
time. Map Reduce framework is originally developed by Google for the ease of web
search applications on a large numbers of CPUs. With the application of cloud
project, a MapReduce framework, graphics rendering is distributed across multiple
CPU. In this research, the author studies the feasibility of using MapReduce
framework on multiple CPUs to render graphics. The author even developed an
interface to facilitate the display of graphics rendering in multiple frames. |
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