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Performance Driven Redundancy Optimization of Data Layouts for Walkthrough Applications
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chen, Jia Jiang, Shan Destefano, Zachary Yoon, Sung-Eui Meenakshisundaram, Gopi |
| Copyright Year | 2015 |
| Abstract | Performance of interactive graphics walkthrough systems depends on the time taken to fetch the required data from the secondary storage to main memory. It has been earlier established that a large frac- tion of this fetch time is spent on seeking the data on the hard disk. In order to reduce this seek time, redun- dant data storage has been proposed in the literature, but the redundancy factors of those layouts are pro- hibitively high. In this paper, we develop a cost model for the seek time of a layout. Based on this cost model, we propose an elegant algorithm that computes a re- dundant data layout with the redundancy factor that is within the user specied bounds, while maximizing the performance of the system. Unlike most existing methods, our data layout method can work with mod- els with textures. The interactive rendering speed of the walkthrough system was improved by a factor of 2-4 by using our data layout method when compared to existing methods with or without redundancy. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://sglab.kaist.ac.kr/news/CGI15_submission_174-3.pdf |
| Alternate Webpage(s) | http://graphics.ics.uci.edu/paperPDF/paper_CGI2015.pdf |
| Journal | CGI 2015 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |