DocumentCode :
3068785
Title :
An extended data-flow architecture for data analysis and visualization
Author :
Abram, Greg ; Treinish, Lloyd
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear :
1995
fDate :
29 Oct-3 Nov 1995
Firstpage :
263
Abstract :
Modular visualization environments utilizing a data-flow execution model have become quite popular in recent years, especially those that incorporate visual programming tools. However, simplistic implementations of such an execution model are quite limited when applied to problems of realistic complexity, which negate the intuitive advantage of data-flow systems. This situation can be resolved by extending the execution model to incorporate a more complete and efficient programming infrastructure while still preserving the virtues of pure “data-flow”. This approach has been used for the implementation of a general-purpose software package, IBM Visualization Data Explorer
Keywords :
data analysis; data flow computing; data visualisation; parallel architectures; parallel programming; software packages; visual programming; IBM Visualization Data Explorer; data analysis; data visualization; data-flow execution model; extended data-flow architecture; general-purpose software package; problem complexity; programming infrastructure; visual programming tools; Application software; Cognitive science; Computer graphics; Data analysis; Data visualization; Functional programming; Isosurfaces; Programming profession; Prototypes; Software packages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visualization, 1995. Visualization '95. Proceedings., IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
1070-2385
Print_ISBN :
0-8186-7187-4
Type :
conf
DOI :
10.1109/VISUAL.1995.480821
Filename :
480821
Link To Document :
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