An efficient 3D grid based scheduling for heterogeneous systems
Journal of Parallel and Distributed Computing - Special section best papers from the 2002 international parallel and distributed processing symposium
Adaptive data parallel computing on workstation clusters
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing
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Numerous applications in science and engineering have a problem space that can be represented as a 2-dimensional grid. While some of these problems exhibit uniform computational requirements over all regions of the grid, others are non-uniform: that is, some regions of the grid have more data points than others. We introduce a new block decomposition method, Fair Binary Recursive Decomposition (FBRD), which as suitable for a collection of heterogeneous processors, and extend it to accommodate non-uniform problems (NUFBRD). Mathematical comparisons of the NUFBRD method and other common partitioning schemes are presented to show the expected performance level of this new decomposition technique.