Symmetric matrix construction method for compressed sparse matrix based on GPU
A technology of sparse matrix and construction method, applied in image data processing, instrumentation, calculation, etc., can solve problems such as a lot of operation time, large matrix size, and time-consuming solution, and achieve the effect of reducing storage space and improving operating efficiency.
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[0017] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0018] Such as figure 1 As shown, in the embodiment of the present invention, a proposed method for constructing a symmetric matrix of a GPU-based compressed sparse matrix, the method includes:
[0019] Step S101, a compressed sparse matrix M=(RowPtr, ColInd, Val) based on the CSR storage format is given as an input matrix, wherein RowPtr represents an array of row offsets, ColInd represents an array of element column numbers, and Val represents an array of element values. Note that n represents the order of the matrix M, then the number of elements in RowPtr is n+1, where the first n elements in ...
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