Bugeja, KeithDebattista, KurtSpina, SandroChalmers, AlanMargarita Amor and Markus Hadwiger2014-12-162014-12-162014978-3-905674-59-01727-348Xhttps://doi.org/10.2312/pgv.20141079https://diglib.eg.org/handle/10.2312/pgv.20141079.009-016Due 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.Computer Graphics [I.3.1]Hardware ArchitectureParallel processingComputer Graphics [I.3.2]Graphics SystemsDistributed/network graphicsComputer Graphics [I.3.7]Three Dimensional Graphics and RealismAnimation and RaytracingComputer Graphics [I.3.8]ApplicationsSystems and Software [H.3.4]Distributed systems