ABSTRACT
The term remote and distributed visualization (RDV) refers to a mapping of visualization pipeline components onto distributed resources. Historically, the development of RDV was motivated by the user’s need to perform analysis on data that was too large to move to their local workstation or cluster, or that exceeded the processing capacity of their local resources. RDV concepts are central in high performance visualization, where a visualization application is often a parallel application consisting of a collection of processing components working together to solve a large problem. This chapter presents RDV architectures and case studies that illustrate how these architectures are used in practice.
