Regular mapping of multi-dimensional data on parallel processors
This thesis presents a generalized framework for the mapping and remapping of large regularly-gridded multidimensional data sets on a parallel computer. We address two problems that influence the efficiency with which parallel computers can be exploited in image processing, visualization and simulation applications. The data mapping problem is the task of describing the layout of multi-dimensional data set on a parallel array. This layout has a significant effect on the choice and...[Show more]
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