Collaborative High-fidelity Rendering over Peer-to-peer Networks
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Due to the computational expense of high-fidelity graphics, parallel and distributed systems have frequently been employed to achieve faster rendering times. The form of distributed computing used, with a few exceptions such as the use of GRID computing, is limited to dedicated clusters available to medium to large organisations. Recently, a number of applications have made use of shared resources in order to alleviate costs of computation. Peer-to-peer computing has arisen as one of the major models for off-loading costs from a centralised computational entity to benefit a number of peers participating in a common activity. This work introduces a peer-to-peer collaborative environment for improving rendering performance for a number of peers where the program state, that is the result of some computation among the participants, is shared. A peer that computes part of this state shares it with the others via a propagation mechanism based on epidemiology. In order to demonstrate this approach, the traditional Irradiance Cache algorithm is extended to account for sharing over a network within the presented collaborative framework introduced. Results, which show an overall speedup with little overheads, are presented for scenes in which a number of peers navigate shared virtual environments.
Description
@inproceedings{:10.2312/pgv.20141079https::/diglib.eg.org/handle/10.2312/pgv.20141079.009-016,
booktitle = {Eurographics Symposium on Parallel Graphics and Visualization},
editor = {Margarita Amor and Markus Hadwiger},
title = {{Collaborative High-fidelity Rendering over Peer-to-peer Networks}},
author = {Bugeja, Keith and Debattista, Kurt and Spina, Sandro and Chalmers, Alan},
year = {2014},
publisher = {The Eurographics Association},
ISSN = {1727-348X},
ISBN = {978-3-905674-59-0},
DOI = {/10.2312/pgv.20141079https://diglib.eg.org/handle/10.2312/pgv.20141079.009-016}
}