A Survey on Distributed Visualization Techniques over Clusters of Personal Computers

TL;DR

This survey reviews distributed visualization techniques over PC clusters, highlighting their importance, system requirements, challenges, and recent methodologies to support research and industrial applications.

Contribution

It compiles and organizes the last decade's literature on PC cluster-based visualization, serving as a comprehensive resource for both newcomers and experts.

Findings

Distributed visualization over PC clusters enhances large-scale visualization accessibility.

The survey identifies key system requirements and implementation challenges.

Recent methodologies improve performance and scalability in distributed visualization.

Abstract

In the last years, Distributed Visualization over Personal Computer (PC) clusters has become important for research and industrial communities. They have made large-scale visualizations practical and more accessible. In this work we survey Distributed Visualization techniques aiming at compiling last decade's literature on the use of PC clusters as suitable alternatives to high-end workstations. We review the topic by defining basic concepts, enumerating system requirements and implementation challenges, and presenting up-to-date methodologies. Our work fulfills the needs of newcomers and seasoned professionals as an introductory compilation at the same time that it can help experienced personnel by organizing ideas.