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- W2035587713 abstract "Abstract A fast implementation of convolution operation is described. The implementation takes advantage of various properties of commonly used kernels. First, the kernel elements are analyzed and rearranged, grouping the kernel elements of the same absolute value together and arranging trivial multiplication cases separately. Then the sequence of computing convolution sums is modified so that all the kernel elements could be multiplied by the same data element at each step. This new algorithm significantly reduces the number of multiplication operations for most widely used kernels. Our experiment shows that the performance improvement of two to seven over the direct implementation is achievable for most kernels. The required overhead (extra memory and preprocessing) is proportional to the kernel size and is negligible." @default.
- W2035587713 created "2016-06-24" @default.
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- W2035587713 date "1995-03-01" @default.
- W2035587713 modified "2023-09-23" @default.
- W2035587713 title "Efficient 2-D Convolution Algorithm with the Single-Data Multiple Kernel Approach" @default.
- W2035587713 doi "https://doi.org/10.1006/gmip.1995.1017" @default.
- W2035587713 hasPublicationYear "1995" @default.
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