1 0 KSP Residual norm 811.729 2 1 KSP Residual norm 196.893 3 2 KSP Residual norm 75.8449 4 3 KSP Residual norm 28.2346 5 4 KSP Residual norm 7.67089 6 5 KSP Residual norm 4.07462 7 6 KSP Residual norm 1.78085 8 7 KSP Residual norm 0.760909 9 8 KSP Residual norm 0.285578 10 9 KSP Residual norm 0.0871707 11 10 KSP Residual norm 0.0348666 12 11 KSP Residual norm 0.0175898 13 12 KSP Residual norm 0.00702007 14Linear solve converged due to CONVERGED_RTOL iterations 12 15KSP Object: 8 MPI processes 16 type: cg 17 maximum iterations=10000, initial guess is zero 18 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 19 left preconditioning 20 using PRECONDITIONED norm type for convergence test 21PC Object: 8 MPI processes 22 type: gamg 23 type is MULTIPLICATIVE, levels=2 cycles=v 24 Cycles per PCApply=1 25 Using externally compute Galerkin coarse grid matrices 26 GAMG specific options 27 Threshold for dropping small values in graph on each level = -0.01 -0.01 28 Threshold scaling factor for each level not specified = 1. 29 Using parallel coarse grid solver (all coarse grid equations not put on one process) 30 AGG specific options 31 Number of levels of aggressive coarsening 1 32 Square graph aggressive coarsening 33 Number smoothing steps 1 34 Complexity: grid = 1.054 operator = 1.07125 35 Coarse grid solver -- level 0 ------------------------------- 36 KSP Object: (mg_coarse_) 8 MPI processes 37 type: cg 38 maximum iterations=10000, initial guess is zero 39 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 40 left preconditioning 41 using PRECONDITIONED norm type for convergence test 42 PC Object: (mg_coarse_) 8 MPI processes 43 type: jacobi 44 type DIAGONAL 45 linear system matrix = precond matrix: 46 Mat Object: 8 MPI processes 47 type: mpiaij 48 rows=162, cols=162, bs=6 49 total: nonzeros=14076, allocated nonzeros=14076 50 total number of mallocs used during MatSetValues calls=0 51 using I-node (on process 0) routines: found 4 nodes, limit used is 5 52 Down solver (pre-smoother) on level 1 ------------------------------- 53 KSP Object: (mg_levels_1_) 8 MPI processes 54 type: chebyshev 55 Chebyshev polynomial of first kind 56 eigenvalue targets used: min 0.637877, max 3.34886 57 eigenvalues provided (min 0.12274, max 3.18939) with transform: [0. 0.2; 0. 1.05] 58 maximum iterations=2, nonzero initial guess 59 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 60 left preconditioning 61 using NONE norm type for convergence test 62 PC Object: (mg_levels_1_) 8 MPI processes 63 type: jacobi 64 type DIAGONAL 65 linear system matrix = precond matrix: 66 Mat Object: 8 MPI processes 67 type: mpiaij 68 rows=3000, cols=3000, bs=3 69 total: nonzeros=197568, allocated nonzeros=243000 70 total number of mallocs used during MatSetValues calls=0 71 has attached near null space 72 using I-node (on process 0) routines: found 125 nodes, limit used is 5 73 Up solver (post-smoother) same as down solver (pre-smoother) 74 linear system matrix = precond matrix: 75 Mat Object: 8 MPI processes 76 type: mpiaij 77 rows=3000, cols=3000, bs=3 78 total: nonzeros=197568, allocated nonzeros=243000 79 total number of mallocs used during MatSetValues calls=0 80 has attached near null space 81 using I-node (on process 0) routines: found 125 nodes, limit used is 5 82 0 KSP Residual norm 0.00811776 83 1 KSP Residual norm 0.0019706 84 2 KSP Residual norm 0.000760067 85 3 KSP Residual norm 0.000283356 86 4 KSP Residual norm 7.66295e-05 87 5 KSP Residual norm 4.03444e-05 88 6 KSP Residual norm 1.76322e-05 89 7 KSP Residual norm 7.55751e-06 90 8 KSP Residual norm 2.8446e-06 91 9 KSP Residual norm 8.72259e-07 92 10 KSP Residual norm 3.49599e-07 93 11 KSP Residual norm 1.76513e-07 94 12 KSP Residual norm 7.01895e-08 95Linear solve converged due to CONVERGED_RTOL iterations 12 96KSP Object: 8 MPI processes 97 type: cg 98 maximum iterations=10000, initial guess is zero 99 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 100 left preconditioning 101 using PRECONDITIONED norm type for convergence test 102PC Object: 8 MPI processes 103 type: gamg 104 type is MULTIPLICATIVE, levels=2 cycles=v 105 Cycles per PCApply=1 106 Using externally compute Galerkin coarse grid matrices 107 GAMG specific options 108 Threshold for dropping small values in graph on each level = -0.01 -0.01 109 Threshold scaling factor for each level not specified = 1. 110 Using parallel coarse grid solver (all coarse grid equations not put on one process) 111 AGG specific options 112 Number of levels of aggressive coarsening 1 113 Square graph aggressive coarsening 114 Number smoothing steps 1 115 Complexity: grid = 1.054 operator = 1.07125 116 Coarse grid solver -- level 0 ------------------------------- 117 KSP Object: (mg_coarse_) 8 MPI processes 118 type: cg 119 maximum iterations=10000, initial guess is zero 120 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 121 left preconditioning 122 using PRECONDITIONED norm type for convergence test 123 PC Object: (mg_coarse_) 8 MPI processes 124 type: jacobi 125 type DIAGONAL 126 linear system matrix = precond matrix: 127 Mat Object: 8 MPI processes 128 type: mpiaij 129 rows=162, cols=162, bs=6 130 total: nonzeros=14076, allocated nonzeros=14076 131 total number of mallocs used during MatSetValues calls=0 132 using nonscalable MatPtAP() implementation 133 using I-node (on process 0) routines: found 4 nodes, limit used is 5 134 Down solver (pre-smoother) on level 1 ------------------------------- 135 KSP Object: (mg_levels_1_) 8 MPI processes 136 type: chebyshev 137 Chebyshev polynomial of first kind 138 eigenvalue targets used: min 0.637376, max 3.34622 139 eigenvalues estimated via gmres: min 0.0806313, max 3.18688 140 eigenvalues estimated using gmres with transform: [0. 0.2; 0. 1.05] 141 KSP Object: (mg_levels_1_esteig_) 8 MPI processes 142 type: gmres 143 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 144 happy breakdown tolerance 1e-30 145 maximum iterations=10, initial guess is zero 146 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 147 left preconditioning 148 using PRECONDITIONED norm type for convergence test 149 estimating eigenvalues using noisy right hand side 150 maximum iterations=2, nonzero initial guess 151 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 152 left preconditioning 153 using NONE norm type for convergence test 154 PC Object: (mg_levels_1_) 8 MPI processes 155 type: jacobi 156 type DIAGONAL 157 linear system matrix = precond matrix: 158 Mat Object: 8 MPI processes 159 type: mpiaij 160 rows=3000, cols=3000, bs=3 161 total: nonzeros=197568, allocated nonzeros=243000 162 total number of mallocs used during MatSetValues calls=0 163 has attached near null space 164 using I-node (on process 0) routines: found 125 nodes, limit used is 5 165 Up solver (post-smoother) same as down solver (pre-smoother) 166 linear system matrix = precond matrix: 167 Mat Object: 8 MPI processes 168 type: mpiaij 169 rows=3000, cols=3000, bs=3 170 total: nonzeros=197568, allocated nonzeros=243000 171 total number of mallocs used during MatSetValues calls=0 172 has attached near null space 173 using I-node (on process 0) routines: found 125 nodes, limit used is 5 174 0 KSP Residual norm 0.00811776 175 1 KSP Residual norm 0.0019706 176 2 KSP Residual norm 0.000760067 177 3 KSP Residual norm 0.000283356 178 4 KSP Residual norm 7.66295e-05 179 5 KSP Residual norm 4.03444e-05 180 6 KSP Residual norm 1.76322e-05 181 7 KSP Residual norm 7.55751e-06 182 8 KSP Residual norm 2.8446e-06 183 9 KSP Residual norm 8.72259e-07 184 10 KSP Residual norm 3.49599e-07 185 11 KSP Residual norm 1.76513e-07 186 12 KSP Residual norm 7.01895e-08 187Linear solve converged due to CONVERGED_RTOL iterations 12 188KSP Object: 8 MPI processes 189 type: cg 190 maximum iterations=10000, initial guess is zero 191 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 192 left preconditioning 193 using PRECONDITIONED norm type for convergence test 194PC Object: 8 MPI processes 195 type: gamg 196 type is MULTIPLICATIVE, levels=2 cycles=v 197 Cycles per PCApply=1 198 Using externally compute Galerkin coarse grid matrices 199 GAMG specific options 200 Threshold for dropping small values in graph on each level = -0.01 -0.01 201 Threshold scaling factor for each level not specified = 1. 202 Using parallel coarse grid solver (all coarse grid equations not put on one process) 203 AGG specific options 204 Number of levels of aggressive coarsening 1 205 Square graph aggressive coarsening 206 Number smoothing steps 1 207 Complexity: grid = 1.054 operator = 1.07125 208 Coarse grid solver -- level 0 ------------------------------- 209 KSP Object: (mg_coarse_) 8 MPI processes 210 type: cg 211 maximum iterations=10000, initial guess is zero 212 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 213 left preconditioning 214 using PRECONDITIONED norm type for convergence test 215 PC Object: (mg_coarse_) 8 MPI processes 216 type: jacobi 217 type DIAGONAL 218 linear system matrix = precond matrix: 219 Mat Object: 8 MPI processes 220 type: mpiaij 221 rows=162, cols=162, bs=6 222 total: nonzeros=14076, allocated nonzeros=14076 223 total number of mallocs used during MatSetValues calls=0 224 using nonscalable MatPtAP() implementation 225 using I-node (on process 0) routines: found 4 nodes, limit used is 5 226 Down solver (pre-smoother) on level 1 ------------------------------- 227 KSP Object: (mg_levels_1_) 8 MPI processes 228 type: chebyshev 229 Chebyshev polynomial of first kind 230 eigenvalue targets used: min 0.637376, max 3.34622 231 eigenvalues estimated via gmres: min 0.0806313, max 3.18688 232 eigenvalues estimated using gmres with transform: [0. 0.2; 0. 1.05] 233 KSP Object: (mg_levels_1_esteig_) 8 MPI processes 234 type: gmres 235 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 236 happy breakdown tolerance 1e-30 237 maximum iterations=10, initial guess is zero 238 tolerances: relative=1e-12, absolute=1e-50, divergence=10000. 239 left preconditioning 240 using PRECONDITIONED norm type for convergence test 241 estimating eigenvalues using noisy right hand side 242 maximum iterations=2, nonzero initial guess 243 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 244 left preconditioning 245 using NONE norm type for convergence test 246 PC Object: (mg_levels_1_) 8 MPI processes 247 type: jacobi 248 type DIAGONAL 249 linear system matrix = precond matrix: 250 Mat Object: 8 MPI processes 251 type: mpiaij 252 rows=3000, cols=3000, bs=3 253 total: nonzeros=197568, allocated nonzeros=243000 254 total number of mallocs used during MatSetValues calls=0 255 has attached near null space 256 using I-node (on process 0) routines: found 125 nodes, limit used is 5 257 Up solver (post-smoother) same as down solver (pre-smoother) 258 linear system matrix = precond matrix: 259 Mat Object: 8 MPI processes 260 type: mpiaij 261 rows=3000, cols=3000, bs=3 262 total: nonzeros=197568, allocated nonzeros=243000 263 total number of mallocs used during MatSetValues calls=0 264 has attached near null space 265 using I-node (on process 0) routines: found 125 nodes, limit used is 5 266[0]main |b-Ax|/|b|=2.411451e-04, |b|=5.391826e+00, emax=9.916715e-01 267