Sparse Reordering Functions#
This module holds all sparse reordering routines.
hipsparseXcsrcolor()#
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hipsparseStatus_t hipsparseScsrcolor(hipsparseHandle_t handle, int m, int nnz, const hipsparseMatDescr_t descrA, const float *csrValA, const int *csrRowPtrA, const int *csrColIndA, const float *fractionToColor, int *ncolors, int *coloring, int *reordering, hipsparseColorInfo_t info)#
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hipsparseStatus_t hipsparseDcsrcolor(hipsparseHandle_t handle, int m, int nnz, const hipsparseMatDescr_t descrA, const double *csrValA, const int *csrRowPtrA, const int *csrColIndA, const double *fractionToColor, int *ncolors, int *coloring, int *reordering, hipsparseColorInfo_t info)#
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hipsparseStatus_t hipsparseCcsrcolor(hipsparseHandle_t handle, int m, int nnz, const hipsparseMatDescr_t descrA, const hipComplex *csrValA, const int *csrRowPtrA, const int *csrColIndA, const float *fractionToColor, int *ncolors, int *coloring, int *reordering, hipsparseColorInfo_t info)#
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hipsparseStatus_t hipsparseZcsrcolor(hipsparseHandle_t handle, int m, int nnz, const hipsparseMatDescr_t descrA, const hipDoubleComplex *csrValA, const int *csrRowPtrA, const int *csrColIndA, const double *fractionToColor, int *ncolors, int *coloring, int *reordering, hipsparseColorInfo_t info)#
Coloring of the adjacency graph of the matrix \(A\) stored in the CSR format.
hipsparseXcsrcolorperforms the coloring of the undirected graph represented by the (symmetric) sparsity pattern of the matrix \(A\) stored in CSR format. Graph coloring is a way of coloring the nodes of a graph such that no two adjacent nodes are of the same color. Thefraction_to_coloris a parameter to only color a given percentage of the graph nodes, the remaining uncolored nodes receive distinct new colors. The optionalreorderingarray is a permutation array such that unknowns of the same color are grouped. The matrix \(A\) must be stored as a general matrix with a symmetric sparsity pattern, and if the matrix \(A\) is non-symmetric then the user is responsible to provide the symmetric part \(\frac{A+A^T}{2}\).