Failed to load RHS, so use a vector of all ones.
Failed to load initial guess, so use a vector of all zeros.
  0 KSP Residual norm 1.78849e+12
  1 KSP Residual norm 3.38372e+11
  2 KSP Residual norm 2.43134e+11
  3 KSP Residual norm 7.43625e+10
  4 KSP Residual norm 3.49525e+10
  5 KSP Residual norm 1.99134e+10
  6 KSP Residual norm 1.1494e+10
  7 KSP Residual norm 6.54079e+09
  8 KSP Residual norm 3.55723e+09
  9 KSP Residual norm 1.99426e+09
 10 KSP Residual norm 1.16166e+09
 11 KSP Residual norm 6.5299e+08
 12 KSP Residual norm 3.57531e+08
 13 KSP Residual norm 1.91894e+08
 14 KSP Residual norm 1.01989e+08
 15 KSP Residual norm 5.63899e+07
 16 KSP Residual norm 3.24215e+07
 17 KSP Residual norm 1.89227e+07
 18 KSP Residual norm 1.0917e+07
KSP Object: 2 MPI processes
  type: gmres
    restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
    happy breakdown tolerance=1e-30
  maximum iterations=100, initial guess is zero
  tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 2 MPI processes
  type: none
  linear system matrix, which is also used to construct the preconditioner:
  Mat Object: 2 MPI processes
    type: normalh
    rows=81920, cols=81920
KSP type: gmres
Number of iterations =  18
Residual norm 0.00141417
