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Hi, Joachim,

Yes, you set parameters correctly. Could you clarify, what mean "do not get proper result"? Does norm of residual |r-Ax| change after turn on CGS (set less iparm(4)=61) or it is decreased, but not so much?

Could you set iparm(4)=61 before phase 33 and provide us with output parameter iparm(20) (CG/CGS diagnostic)?

Sergey

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Hi, Joachim,

Yes, you set parameters correctly. Could you clarify, what mean "do not get proper result"? Does norm of residual |r-Ax| change after turn on CGS (set less iparm(4)=61) or it is decreased, but not so much?

Could you set iparm(4)=61 before phase 33 and provide us with output parameter iparm(20) (CG/CGS diagnostic)?

Sergey

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*Hi, I have read the sparse info in the Pardiso manual on how to use iparm(4) to precondition the factorization, but can't get it to work. This is the background: I have to solve a system of identical sparsity structure (and slow/smooth evolution in time) thousands of time, so any possible speed up is essential. The system is structurally symmetric, so I have reduced the pardiso solver to initialize and do phase 11 only once, and then phase 22 and phase 33 at every time-step.*

However, I am hoping that there could be further optimization, and using pre-conditioning with iparm(4) was suggested to me. I have tried using iparm(4) = 31 and 61 at either the phase 22 and/or just phase 33 but do not get proper results.

Any suggestions would be appreciated.
--Joachim

...did you guys get it to speed up?

tnx

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hi ,phase=33,cpu nearly=0,anyone have this question?

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what do you mean by that? if cpu nearly like you said 0, is it bad?

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