73 | | PDAF Initialize PDAF: 0.078 s |
74 | | PDAF init_ens_pdaf: 0.077 s |
75 | | PDAF Ensemble forecast: 0.003 s |
76 | | PDAF MPI communication in PDAF: 0.000 s |
77 | | PDAF distribute_state_pdaf: 0.001 s |
78 | | PDAF collect_state_pdaf: 0.000 s |
79 | | PDAF LESTKF analysis: 25.183 s |
80 | | PDAF PDAF-internal operations: 24.762 s |
| 73 | PDAF Initialize PDAF: 2.007 s |
| 74 | PDAF init_ens_pdaf: 2.004 s |
| 75 | PDAF Ensemble forecast: 571.850 s |
| 76 | PDAF MPI communication in PDAF: 0.004 s |
| 77 | PDAF distribute_state_pdaf: 0.140 s |
| 78 | PDAF collect_state_pdaf: 0.001 s |
| 79 | PDAF LESTKF analysis: 12.654 s |
| 80 | PDAF PDAF-internal operations: 10.360 s |
85 | | PDAF init_dim_obs_l_pdaf: 0.001 s |
86 | | PDAF g2l_state_pdaf: 0.001 s |
87 | | PDAF g2l_obs_pdaf: 0.021 s |
88 | | PDAF init_obs_l_pdaf: 0.000 s |
89 | | PDAF prodRinvA_l_pdaf: 0.006 s |
90 | | PDAF l2g_state_pdaf: 0.014 s |
91 | | PDAF prepoststep_pdaf: 0.017 s |
| 85 | PDAF init_dim_obs_l_pdaf: 1.136 s |
| 86 | PDAF g2l_state_pdaf: 0.003 s |
| 87 | PDAF g2l_obs_pdaf: 0.007 s |
| 88 | PDAF init_obs_l_pdaf: 0.004 s |
| 89 | PDAF prodRinvA_l_pdaf: 0.023 s |
| 90 | PDAF l2g_state_pdaf: 0.002 s |
| 91 | PDAF prepoststep_pdaf: 91.396 s |
93 | | In this example most time is spent inside PDAF (it is from the PDAF testsuite where pseudo observations are genered inside the program and the observation operator is trivial). If significant time is spend in one of several of the call-back routines, this given an indication which routines might have potential for optimization. |
| 93 | This example is from one of our real data assimilation application. Most of the time is spent in for ensmeble forecast. The second most time is spent in `prepoststep_pdaf`, which is mainly due to the writing of large output files. |
| 94 | The analysis step (line `LESTKF analysis`) took only 12.65s. Most of this time was spent for computations inside PDAF (line `PDAF-interal operations`, 10.36s), while also `init_dim_obs_f_pdaf` (the initialization of observation information) and `init_dim_obs_l_pdaf` (the search for observations within the localization cut-off radius) took some time. |
| 95 | |
| 96 | If significant time is spend in one or several of the call-back routines, this gives an indication which routines might have potential for optimization. |