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PARDISO vs. RCI CG

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Hi, 

I am trying to solve a relatively large system (100.000 equations) using either Pardiso or CG.

The system matrix is sparse, symmetric and converted to CSR format. For the matrix-vector multiplication

I use mkl_dcsrsymv for the RCI requests. My question is why Pardiso is way faster than CG? 

Shouldn't it be the other way around?

on a quad-core intel xeon it takes around 1 sec for pardiso, while CG needs around 30 sec.

These are the parameters i used on pardiso:

    iparm(1) = 1
    iparm(2) = 3
    iparm(4) = 0
    iparm(5) = 0
    iparm(6) = 0
    iparm(8) = 9
    iparm(10) = 13
    iparm(11) = 1
   iparm(13) = 1

    iparm(18) = -1

    iparm(19) = -1
    
    iparm(60) = 1


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