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Inherently multi-dimensional n-ary indexing structures such as R-trees are not well suited for the GPU because of their irregular memory access patterns and recursive back-tracking function calls. It has been known that traversing hierarchical tree structures in an irregular manner makes it difficult to exploit parallelism and to maximize the utilization of GPU processing units. Moreover, the recursive...
CUDA is a parallel programming environment that enables significant performance improvement by leveraging the massively parallel processing capability of the GPU. Inherently spatial indexing structures such as R-Trees are not well suited for CUDA environment due to its irregular tree traversal for range queries. Traversing irregular tree search paths makes it hard to maximize the utilization of many-core...
Hexagonal structure is different from the traditional square structure for image representation. The geometrical arrangement of pixels on hexagonal structure can be described in terms of a hexagonal grid. Uniformly separating image into seven similar copies with a smaller scale has commonly been used for parallel and accurate image processing on hexagonal structure. However, all the existing hardware...
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