Image Programming for Scientific Visualization by Cluster Computing (CROSBI ID 521224)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Skala Karolj ; Pavković Nikola
engleski
Image Programming for Scientific Visualization by Cluster Computing
Advancement of computer usage in scientific work must be based on development of the e-Science technologies. More generally e-Science refers to the development of the next generation infrastructure to support computationally based science. This involves the effective utilization of distributed computing, network storage and scientific visualization resources. An enormous number of image processing software has been written for conventional desktop computers. These implement a wide range of operations, such as convolution, histogram equalization and template matching. Rendering and processing complex scientific visualization on desktop computers could ask for processing days. But the same part of job, or process if it is distributed on several nodes could be done much faster. The graphical applications usually have a tremendous potential for parallelism. In this paper distributed digital image programming visualization presented.
mage programming; scientific visualisation; grid
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Podaci o prilogu
132-137-x.
2005.
objavljeno
Podaci o matičnoj publikaciji
International Conference on Networking and Services 2005
Petre Dini
San Jose: Library of Congress
Podaci o skupu
International Conference on Networking and Services 2005
predavanje
23.10.2005-28.10.2005
Tahiti, Francuska Polinezija