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Hello,
I can successfully use the PARDISO to solve my problem with iparm(4)=0. However when I try to use it as an iterative solver by setting iparm(4)=61 and keepping all the other parameters the same, it gives error. I turn on msglvl=1 to check the detail, and it says:
---------------------------------------------------------------------------------------------------------------------------------
=== PARDISO is running in In-Core mode, because iparam(60)=0 ===
Percentage of computed non-zeros for LL^T factorization
37 % 87 % 100 %
*** Error in PARDISO ( numerical_factorization) error_num= -1
*** Error in PARDISO: cgs error iparam(20) -22
=== PARDISO: solving a complex nonsymetric system ===
The local (internal) PARDISO version is : 103911000
1-based array indexing is turned ON
PARDISO double precision computation is turned ON
Minimum degree algorithm at reorder step is turned ON
Single-level factorization algorithm is turned ON
Summary: ( starting phase is reordering, ending phase is solution )
================
Times:
======
Time spent in calculations of symmetric matrix portrait (fulladj): 0.000010 s
Time spent in reordering of the initial matrix (reorder) : 0.000014 s
Time spent in symbolic factorization (symbfct) : 0.000065 s
Time spent in copying matrix to internal data structure (A to LU): 0.000000 s
Time spent in factorization step (numfct) : 0.000088 s
Time spent in iterative solver at solve step (cgs) : 0.000259 s cgx iterations -22
Time spent in allocation of internal data structures (malloc) : 0.002747 s
Time spent in additional calculations : 0.000025 s
Total time spent : 0.003208 s
Statistics:
===========
< Parallel Direct Factorization with number of processors: > 6
< Hybrid Solver PARDISO with CGS/CG Iteration >
< Linear system Ax = b >
number of equations: 4
number of non-zeros in A: 8
number of non-zeros in A (%): 50.000000
number of right-hand sides: 4
< Factors L and U >
< Preprocessing with multiple minimum degree, tree height >
< Reduction for efficient parallel factorization >
number of columns for each panel: 128
number of independent subgraphs: 0
number of supernodes: 2
size of largest supernode: 2
number of non-zeros in L: 8
number of non-zeros in U: 1
number of non-zeros in L+U: 9
gflop for the numerical factorization: 0.000000
gflop/s for the numerical factorization: 0.000364
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In this example I use phase=13. I also tried to use phase=11 with iparm(4)=0 and then followed by phase=23 with iparm(4)=61. It gives similar error message.
For the above example, the other non zero iparms I use is:
iparm(1)=1
iparm(3)=1
iparm(10)=13
. I also tried to use the iparm in the example file pardiso_unsym_complex_f.f , but similar error message appears.
How should I modified the code to make the iterative solver works? Thank you.
Best regards,
CC
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Hi,
Based on manual it's mean that iterative algorithm show slow convergence that can happened in case when main matrix and matrix for preconditioner differ a lot. I've modified example pardiso_complex_unsym_f and didn't got such error - which version of MKL do you use?
With best regards,
Alexander Kalinkin
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