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 = precond matrix:
  Mat Object: 2 MPI processes
    type: normalh
    rows=81920, cols=81920
KSP type: gmres
Number of iterations =  18
Residual norm 0.00141417
