lid velocity = 0.0625, prandtl # = 1., grashof # = 1.
    0 KSP Residual norm 0.329737
    1 KSP Residual norm 0.313164
    2 KSP Residual norm 0.0475228
    3 KSP Residual norm 0.0527513
    4 KSP Residual norm 0.0336081
    5 KSP Residual norm 0.0589036
    6 KSP Residual norm 0.0371174
    7 KSP Residual norm 0.0311859
    8 KSP Residual norm 0.0315337
    9 KSP Residual norm 0.0238384
   10 KSP Residual norm 0.0121624
   11 KSP Residual norm 0.0121032
   12 KSP Residual norm 0.0136556
   13 KSP Residual norm 0.00871402
   14 KSP Residual norm 0.00808783
   15 KSP Residual norm 0.00215891
   16 KSP Residual norm 0.00581555
   17 KSP Residual norm 0.00776632
   18 KSP Residual norm 0.019159
   19 KSP Residual norm 0.00328485
   20 KSP Residual norm 0.00412157
   21 KSP Residual norm 0.00308695
   22 KSP Residual norm 0.00522533
   23 KSP Residual norm 0.00699751
   24 KSP Residual norm 0.00966341
   25 KSP Residual norm 0.00273529
   26 KSP Residual norm 0.00376275
   27 KSP Residual norm 0.00365193
   28 KSP Residual norm 0.0008234
   29 KSP Residual norm 0.00137171
   30 KSP Residual norm 0.000483122
   31 KSP Residual norm 0.000999703
   32 KSP Residual norm 0.000507456
   33 KSP Residual norm 0.00116562
   34 KSP Residual norm 0.000212525
   35 KSP Residual norm 0.000132465
   36 KSP Residual norm 0.000419669
   37 KSP Residual norm 0.000199309
   38 KSP Residual norm 0.000345409
   39 KSP Residual norm 0.000207211
   40 KSP Residual norm 0.000488192
   41 KSP Residual norm 0.000219208
   42 KSP Residual norm 0.000341406
   43 KSP Residual norm 0.000110854
   44 KSP Residual norm 8.48481e-05
   45 KSP Residual norm 0.000169257
   46 KSP Residual norm 0.000175205
   47 KSP Residual norm 3.60377e-05
   48 KSP Residual norm 0.000129896
   49 KSP Residual norm 0.000105173
   50 KSP Residual norm 6.34783e-05
   51 KSP Residual norm 5.05072e-05
   52 KSP Residual norm 6.76429e-05
   53 KSP Residual norm 2.43593e-06
  Linear solve converged due to CONVERGED_RTOL iterations 53
KSP Object: 1 MPI process
  type: cgne
  maximum iterations=10000, initial guess is zero
  tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 1 MPI process
  type: jacobi
  linear system matrix = precond matrix:
  Mat Object: 1 MPI process
    type: seqaij
    rows=64, cols=64, bs=4
    total: nonzeros=1024, allocated nonzeros=1024
    total number of mallocs used during MatSetValues calls=0
      using I-node routines: found 16 nodes, limit used is 5
    0 KSP Residual norm 9.8805e-05
    1 KSP Residual norm 8.19186e-05
    2 KSP Residual norm 1.90045e-05
    3 KSP Residual norm 2.40209e-05
    4 KSP Residual norm 6.07153e-06
    5 KSP Residual norm 9.60261e-06
    6 KSP Residual norm 5.79382e-06
    7 KSP Residual norm 2.35168e-05
    8 KSP Residual norm 1.43291e-05
    9 KSP Residual norm 2.31894e-05
   10 KSP Residual norm 1.53585e-05
   11 KSP Residual norm 1.46354e-05
   12 KSP Residual norm 1.38503e-05
   13 KSP Residual norm 1.50412e-05
   14 KSP Residual norm 8.43848e-06
   15 KSP Residual norm 8.84509e-06
   16 KSP Residual norm 1.61505e-05
   17 KSP Residual norm 6.49552e-06
   18 KSP Residual norm 4.63784e-06
   19 KSP Residual norm 4.61956e-06
   20 KSP Residual norm 3.88109e-06
   21 KSP Residual norm 4.70298e-06
   22 KSP Residual norm 3.80683e-06
   23 KSP Residual norm 4.46884e-06
   24 KSP Residual norm 2.14323e-06
   25 KSP Residual norm 1.68311e-06
   26 KSP Residual norm 1.10435e-06
   27 KSP Residual norm 1.87473e-06
   28 KSP Residual norm 1.16712e-06
   29 KSP Residual norm 1.24929e-06
   30 KSP Residual norm 5.27343e-07
   31 KSP Residual norm 2.77839e-07
   32 KSP Residual norm 2.61303e-07
   33 KSP Residual norm 3.13361e-07
   34 KSP Residual norm 1.63141e-07
   35 KSP Residual norm 2.13578e-07
   36 KSP Residual norm 7.8339e-07
   37 KSP Residual norm 8.58461e-08
   38 KSP Residual norm 9.14491e-08
   39 KSP Residual norm 1.01323e-07
   40 KSP Residual norm 6.90381e-08
   41 KSP Residual norm 3.11927e-07
   42 KSP Residual norm 1.29601e-07
   43 KSP Residual norm 7.96694e-08
   44 KSP Residual norm 4.31165e-08
   45 KSP Residual norm 1.95467e-07
   46 KSP Residual norm 6.59884e-08
   47 KSP Residual norm 7.61762e-08
   48 KSP Residual norm 3.91827e-08
   49 KSP Residual norm 9.64272e-08
   50 KSP Residual norm 9.35972e-08
   51 KSP Residual norm 1.17549e-08
   52 KSP Residual norm 3.98126e-08
   53 KSP Residual norm 7.25575e-09
   54 KSP Residual norm 7.15814e-09
   55 KSP Residual norm 1.78358e-08
   56 KSP Residual norm 9.72379e-09
   57 KSP Residual norm 2.41943e-08
   58 KSP Residual norm 7.28349e-09
   59 KSP Residual norm 5.6578e-09
   60 KSP Residual norm 3.58275e-09
   61 KSP Residual norm 2.46854e-09
   62 KSP Residual norm 6.4442e-09
   63 KSP Residual norm 1.72792e-08
   64 KSP Residual norm 3.14399e-09
   65 KSP Residual norm 2.17434e-09
   66 KSP Residual norm 7.996e-10
  Linear solve converged due to CONVERGED_RTOL iterations 66
KSP Object: 1 MPI process
  type: cgne
  maximum iterations=10000, initial guess is zero
  tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 1 MPI process
  type: jacobi
  linear system matrix = precond matrix:
  Mat Object: 1 MPI process
    type: seqaij
    rows=64, cols=64, bs=4
    total: nonzeros=1024, allocated nonzeros=1024
    total number of mallocs used during MatSetValues calls=0
      using I-node routines: found 16 nodes, limit used is 5
    0 KSP Residual norm 8.088e-10
    1 KSP Residual norm 1.41572e-09
    2 KSP Residual norm 3.34909e-09
    3 KSP Residual norm 5.927e-10
    4 KSP Residual norm 1.17104e-09
    5 KSP Residual norm 1.08557e-09
    6 KSP Residual norm 1.60593e-09
    7 KSP Residual norm 5.946e-10
    8 KSP Residual norm 7.734e-10
    9 KSP Residual norm 3.367e-10
   10 KSP Residual norm 4.901e-10
   11 KSP Residual norm 6.654e-10
   12 KSP Residual norm 1.05178e-09
   13 KSP Residual norm 5.620e-10
   14 KSP Residual norm 5.390e-10
   15 KSP Residual norm 2.426e-10
   16 KSP Residual norm 3.058e-10
   17 KSP Residual norm 4.040e-10
   18 KSP Residual norm 2.678e-10
   19 KSP Residual norm 2.477e-10
   20 KSP Residual norm 2.816e-10
   21 KSP Residual norm 3.991e-10
   22 KSP Residual norm 2.129e-10
   23 KSP Residual norm 2.696e-10
   24 KSP Residual norm 2.945e-10
   25 KSP Residual norm 2.758e-10
   26 KSP Residual norm 9.453e-11
   27 KSP Residual norm 1.158e-10
   28 KSP Residual norm 4.044e-10
   29 KSP Residual norm 2.067e-10
   30 KSP Residual norm 5.540e-11
   31 KSP Residual norm 1.947e-11
   32 KSP Residual norm 3.533e-11
   33 KSP Residual norm 3.764e-11
   34 KSP Residual norm 2.536e-11
   35 KSP Residual norm 2.083e-11
   36 KSP Residual norm 5.355e-11
   37 KSP Residual norm 1.906e-11
   38 KSP Residual norm 1.004e-11
   39 KSP Residual norm 1.078e-11
   40 KSP Residual norm 1.423e-11
   41 KSP Residual norm 2.065e-11
   42 KSP Residual norm 2.426e-11
   43 KSP Residual norm 1.079e-11
   44 KSP Residual norm < 1.e-11
   45 KSP Residual norm < 1.e-11
   46 KSP Residual norm < 1.e-11
   47 KSP Residual norm < 1.e-11
   48 KSP Residual norm 2.996e-11
   49 KSP Residual norm < 1.e-11
   50 KSP Residual norm < 1.e-11
   51 KSP Residual norm < 1.e-11
   52 KSP Residual norm < 1.e-11
   53 KSP Residual norm < 1.e-11
   54 KSP Residual norm < 1.e-11
   55 KSP Residual norm < 1.e-11
   56 KSP Residual norm < 1.e-11
   57 KSP Residual norm < 1.e-11
   58 KSP Residual norm < 1.e-11
   59 KSP Residual norm < 1.e-11
   60 KSP Residual norm < 1.e-11
   61 KSP Residual norm < 1.e-11
   62 KSP Residual norm < 1.e-11
   63 KSP Residual norm < 1.e-11
   64 KSP Residual norm < 1.e-11
   65 KSP Residual norm < 1.e-11
   66 KSP Residual norm < 1.e-11
   67 KSP Residual norm < 1.e-11
   68 KSP Residual norm < 1.e-11
   69 KSP Residual norm < 1.e-11
   70 KSP Residual norm < 1.e-11
   71 KSP Residual norm < 1.e-11
   72 KSP Residual norm < 1.e-11
   73 KSP Residual norm < 1.e-11
  Linear solve converged due to CONVERGED_RTOL iterations 73
KSP Object: 1 MPI process
  type: cgne
  maximum iterations=10000, initial guess is zero
  tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 1 MPI process
  type: jacobi
  linear system matrix = precond matrix:
  Mat Object: 1 MPI process
    type: seqaij
    rows=64, cols=64, bs=4
    total: nonzeros=1024, allocated nonzeros=1024
    total number of mallocs used during MatSetValues calls=0
      using I-node routines: found 16 nodes, limit used is 5
Number of SNES iterations = 3