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Analyzing Pre-fetching in Large-scale Visual Simulation Chu-Ming Ng, Cam-Thach Nguyen, Dinh-Nguyen Tran, Tiow-Seng Tan
 

Summary: Analyzing Pre-fetching in Large-scale Visual Simulation
Chu-Ming Ng, Cam-Thach Nguyen, Dinh-Nguyen Tran, Tiow-Seng Tan
National University of Singapore
Shin-We Yeow
G Element Pte Ltd
ABSTRACT
This paper studies pre-fetching mechanisms that support walk-
throughs of virtual environments with overall data sizes exceeding
current core memory capacities of PCs. Specifically, it formulates
the pre-fetch problem using motion characteristics of the viewer,
the data density of the virtual environment, and the data transfer
capability of the disk. It further analyzes two fundamental classes
of pre-fetching schemes, which are classified by their uses of cer-
tain pre-assigned spatial or temporal thresholds. The analysis is
supported and verified by experiments on terrain walkthroughs per-
formed on different configurations of PCs. An interesting finding
is the understanding of how the terrain data density supportable is a
function of the duration of time allocated to disk-level pre-fetching.
On the whole, this paper provides a methodology for analyzing pre-
fetch performance as well as presents insights instrumental in the

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle
Tan, Tiow Seng - Department of Computational Science, National University of Singapore

 

Collections: Computer Technologies and Information Sciences