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module | cp_fm_diag_utils |
| Auxiliary tools to redistribute cp_fm_type matrices before and after diagonalization. Heuristics are used to determine the optimal number of CPUs for diagonalization and the input matrices are redistributed if necessary.
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subroutine, public | cp_fm_diag_utils::cp_fm_redistribute_init (a, x, should_print, elpa_force_redistribute) |
| Initializes the parameters that determine how to calculate the optimal number of CPUs for diagonalizing a matrix. The parameters are read from the GLOBAL input section. More...
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subroutine, public | cp_fm_diag_utils::cp_fm_redistribute_start (matrix, eigenvectors, matrix_new, eigenvectors_new, caller_is_elpa, redist_info) |
| Determines the optimal number of CPUs for matrix diagonalization and redistributes the input matrices if necessary. More...
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subroutine, public | cp_fm_diag_utils::cp_fm_redistribute_end (matrix, eigenvectors, eig, matrix_new, eigenvectors_new) |
| Redistributes eigenvectors and eigenvalues back to the original communicator group. More...
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