Feasibility Study of Graphics Rendering in Cloud

Kah Meng, Tan (2011) Feasibility Study of Graphics Rendering in Cloud. [Final Year Project] (Unpublished)

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Abstract

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.

Item Type: Final Year Project
Subjects: T Technology > T Technology (General)
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 30 Sep 2013 16:55
Last Modified: 25 Jan 2017 09:42
URI: http://utpedia.utp.edu.my/id/eprint/7375

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