[petsc-users] Newbie question : iterative solver - algorithm and performance

[lixin chu]

Thank you all for your help ! rgds
LX 

    On Thursday, 16 February 2017, 3:29, Patrick Sanan <patrick.sanan at gmail.com> wrote:
 

 On Wed, Feb 15, 2017 at 8:26 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:
>
>> On Feb 15, 2017, at 7:03 AM, lixin chu <lixin_chu at yahoo.com> wrote:
>>
>> I think the chapter 4 of the user manual more or less answers my first question already ...
>>
>> rgds
>> lixin
>>
>>
>> On Wednesday, 15 February 2017, 14:40, lixin chu <lixin_chu at yahoo.com> wrote:
>>
>>
>> Hello,
>> New to PETSc, appreciate any help -
>>
>> I have done some experiment with MUMPS (the direct solver for sparse matrix), and very interested to try out PETSc now. I have a large sparse symmetric matrix (3 millions x 3 millions, complex data type).
>>
>> Some questions I have:
>> - I am assuming that I should select one algorithm of "Krylov methods", which algorithm is a good option, GMRES, CG, or others ? (I am not a domain expert, but helping developing a program to test the matrix).
>
>    GMRES is a "safe" choice. You can try -ksp_type cg  -ksp_cg_type symmetric  (or if the matrix is hermitian; i.e. transpose A = complex conjugate of A  then type hermitian instead of symmetric).
>
>
>> - do all the algorithms support distributed architecture (multiple machines, multiple cores)
>
>    Yes
>
>> - are there any performance test data ? (total run time for example)
>
>    Run your code with -view_summary and it will print information at the end about where it has spent the time doing the computation.
Barry probably meant -log_view here.
>
>
>>
>>
>> thank you very much,
>> LX
>>
>>
>


   
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