Group-based Image Compositing in Heterogeneous Environments

Authors

Liu Ning, 1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;2. University of Chinese Academy of Sciences, Beijing 100049, China;
Dengming Zhu, 1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;
Zhaoqi Wang, 1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;
Wei Yi, 1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;

Abstract

Abstract: Image compositing requires dense inter-node communications and could easily become the bottleneck of a parallel visualization system. Conventional image compositing algorithms assume the environment is homogeneous and take no heterogeneity into consideration. In a heterogeneous environment, this assumption is likely to cause unreasonable load distribution among the nodes. To address this problem, we present a group-based image compositing algorithm in heterogeneous environments. It is able to distribute the workloads among the nodes according to computing and networking characteristics of the heterogeneous environments. We conduct a comprehensive evaluation on the ns-3 network simulator. Experiment results shows that when the environment has great heterogeneity, our algorithm gains significant speedup over conventional methods.

Recommended Citation

Ning, Liu; Zhu, Dengming; Wang, Zhaoqi; and Yi, Wei (2020) "Group-based Image Compositing in Heterogeneous Environments," Journal of System Simulation: Vol. 27: Iss. 8, Article 22.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss8/22

First Page

1801

Revised Date

2015-07-02

DOI Link

https://doi.org/

Last Page

1808

CLC

TP391

Recommended Citation

Liu Ning, Zhu Dengming, Wang Zhaoqi, Wei Yi. Group-based Image Compositing in Heterogeneous Environments[J]. Journal of System Simulation, 2015, 27(8): 1801-1808.