engleski

Image Processing for Visualisation by Cluster Computing

Abstract More generally e-Science refers to the development of the next generation infrastructure to support computation-ally based science. This involves the effective utilization of distributed computing, network storage and scientific visualization resources. 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.

cluster computing; e-science visualisation; PoVRay

nije evidentirano