Abstract

Recent hardware and software advances have demonstrated that it is now practicable to run large visual computing tasks over heterogeneous hardware with output on multiple types of display devices. As the complexity of the enabling infrastructure increases, then so too do the demands upon the programmer for task integration as well as the demands upon the users of the system. This places importance on system developers to create systems that reduce these demands. Such a goal is an important factor of autonomic computing, aspects of which we have used to influence our work. In this paper we develop a model of adaptive infrastructure for visual systems. We design and implement a simulation engine for visual tasks in order to allow a system to inspect and adapt itself to optimise usage of the underlying infrastructure. We present a formal abstract representation of the visualization pipeline, from which a user interface can be generated automatically, along with concrete pipelines for the visualization. By using this abstract representation it is possible for the system to adapt at run time. We demonstrate the need for, and the technical feasibility of, the system using several example applications.

Related Files

Open Access Link

DOI

10.2312/LocalChapterEvents/TPCG/TPCG07/147-156
https://dx.doi.org/10.2312/LocalChapterEvents/TPCG/TPCG07/147-156

Citation

BibTeX

@INPROCEEDINGS{Autonomic_Visual_Computing,
	author = {K. W. Brodlie and J. Brooke and M. Chen and D. Chisnall and C. J. Hughes and Nigel W. John and M. W. Jones and M. Riding and N. Roard and M. Turner and J. D. Wood},
	title = {Adaptive Infrastructure for Visual Computing},
	booktitle = {Theory and Practice of Computer Graphics},
	year = {2007},
	pages = {147--156},
	doi = {10.2312/LocalChapterEvents/TPCG/TPCG07/147-156},
	date={2007-06-13},
}