Dynamic scalable visualization for collaborative scientific applications

Kai Li, Matthew Hibbs, Grant Wallace, Olga G. Troyanskaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Science disciplines are experiencing a data avalanche. As a result, scientific research is limited by data analysis and visualization capabilities. We have been working closely with Genomic and Plasma Physics researchers on effective data visualization software tools. This paper reports our research on developing software tools for high-resolution display walls to alleviate the current limitation on visualization resolution and single-user window system. In the first case, we developed a novel data visualization tools for genomic data visualization that is dynamic and scale free. In the second case, we have developed a multi-cursor window system for shared data visualization for a collaborative environment. We have deployed both software tools to the scientific researchers. Our initial feedbacks show that these approaches have made significant impact on their productivity.

Original languageEnglish (US)
Title of host publicationProceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
DOIs
StatePublished - Dec 1 2005
Event19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 - Denver, CO, United States
Duration: Apr 4 2005Apr 8 2005

Publication series

NameProceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Volume2005

Other

Other19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
CountryUnited States
CityDenver, CO
Period4/4/054/8/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Li, K., Hibbs, M., Wallace, G., & Troyanskaya, O. G. (2005). Dynamic scalable visualization for collaborative scientific applications. In Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 [1420140] (Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005; Vol. 2005). https://doi.org/10.1109/IPDPS.2005.183