Image Filtering on .NET-based Desktop Grids
Image filtering is the use of computer graphics algorithms to enhance the quality of digital images or to extract information about their content. However rendering very large size digital images on a single machine is a performance bottleneck. To address this we propose parallelising this application on a desktop Grid environment. For parallelizing this application we use the Alchemi Desktop Grid environment and the resulting framework is referred to as ImageGrid.lmageGrid allows the parallel execution of linear digital filters algorithms on images. We observed acceptable speed up as a result of parallelising filtering operation through ImageGrid. We run the tests on different data sets by varying the dimension of the images and the complexity of the filters. Results demonstrate potential of Grid computing for desktop applications and that the speed up obtained is more consistent for large images and complex filters.
Christian Vecchiola Krishna Nadiminti Rajkumar Buyya
DIST - Department of Communication Computer and System Sciences,The University of Genoa, Italy Grid Computing and Distributed Systems Laboratory,Department of Computer Science and Software Engine
国际会议
第六届网格与协同计算国际会议(The Sixth International Conference on Grid and Cooperative Computing GCC 2007)
乌鲁木齐
英文
582-589
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）