Preconditioners based on Incomplete LU Factorization Technique
Preconditioners, or accelerators are used to accelerate an iterative solution process. In some cases, their use can reduce the number of iterations dramatically and thus lead to better solver performance. Although the terms
acceleratorare synonyms, hereafter only
The ILU0 preconditioner is based on a well-known factorization of the original matrix into a product of two triangular matrices: lower and upper triangular matrices. Usually, such decomposition leads to some fill-in in the resulting matrix structure in comparison with the original matrix. The distinctive feature of the ILU0 preconditioner is that it preserves the structure of the original matrix in the result.
Unlike the ILU0 preconditioner, the ILUT preconditioner preserves some resulting fill-in in the preconditioner matrix structure. The distinctive feature of the ILUT algorithm is that it calculates each element of the preconditioner and saves each one if it satisfies two conditions simultaneously: its value is greater than the product of the given tolerance and matrix row norm, and its value is in the given bandwidth of the resulting preconditioner matrix.
Both ILU0 and ILUT preconditioners can apply to any non-degenerate matrix. They can be used alone or together with the
RCI FGMRES solver (see Sparse Solver Routines ). Avoid using these preconditioners with MKL RCI CG solver because in general, they produce a non-symmetric resulting matrix even if the original matrix is symmetric. Usually, an inverse of the preconditioner is required in this case. To do this the
triangular solver routine
mkl_dcsrtrsvmust be applied twice: for the lower triangular part of the preconditioner, and then for its upper triangular part.
Although ILU0 and ILUT preconditioners apply to any non-degenerate matrix, in some cases the algorithm may fail to ensure successful termination and the required result. Whether or not the preconditioner produces an acceptable result can only be determined in practice.
A preconditioner may increase the number of iterations for an arbitrary case of the system and the initial solution, and even ruin the convergence. It is your responsibility as a user to choose a suitable preconditioner.
General Scheme of Using ILUT and RCI FGMRES Routines
The general scheme for use is the same for both preconditioners. Some differences exist in the calling parameters of the preconditioners and in the subsequent call of two triangular solvers. You can see all these differences in the preconditioner code examples (
dcsrilu*.*) in the
examplesfolder of the
The following pseudocode shows the general scheme of using the ILUT preconditioner in the RCI FGMRES context.
change parameters in
multiply the matrix
and put the result in
c proceed with FGMRES iterations
if (RCI_request.eq.2) then
do the stopping test
if(test not passed)
cproceed with FGMRES iterations
go to 1
cstop FGMRES iterations.
trvecis an intermediate vector of length at least
cHere is the recommended use of the result produced by the ILUT routine.
Sparse Blas solver routine