[petsc-users] MatScale returns different results depending on matrix size
Roland Richter
roland.richter at ntnu.no
Wed Jan 6 01:41:42 CST 2021
Hei,
I added one additional function to the code:
/void test_scaling_petsc_pointer(const Mat &in_mat,//
// Mat &out_mat,//
// const PetscScalar &scaling_factor) {//
// MatCopy (in_mat, out_mat, SAME_NONZERO_PATTERN);//
// PetscScalar *mat_ptr;//
// MatDenseGetArray (out_mat, &mat_ptr);//
// PetscInt r_0, r_1;//
// MatGetLocalSize (out_mat, &r_0, &r_1);//
// for(int i = 0; i < r_0 * r_1; ++i)//
// *(mat_ptr + i) = (*(mat_ptr + i) * scaling_factor);//
//
// MatAssemblyBegin (out_mat, MAT_FINAL_ASSEMBLY);//
// MatAssemblyEnd (out_mat, MAT_FINAL_ASSEMBLY);//
//}/
When replacing test function /test_scaling_petsc()/ with
/test_scaling_petsc_pointer()/ everything works as it should, but I do
not understand why.
Do you have any suggestions?
Thanks!
*//*
Am 05.01.21 um 15:24 schrieb Roland Richter:
>
> Hei,
>
> the code I attached to the original mail should work out of the box,
> but requires armadillo and PETSc to compile/run. Armadillo stores the
> data in column-major order, and therefore I am transposing the
> matrices before and after transferring using .st().
>
> Thank you for your help!
>
> Regards,
>
> Roland
>
> Am 05.01.21 um 15:21 schrieb Matthew Knepley:
>> On Tue, Jan 5, 2021 at 7:57 AM Roland Richter <roland.richter at ntnu.no
>> <mailto:roland.richter at ntnu.no>> wrote:
>>
>> Hei,
>>
>> I would like to scale a given matrix with a fixed scalar value, and
>> therefore would like to use MatScale(). Nevertheless, I observed an
>> interesting behavior depending on the size of the matrix, and
>> currently
>> I am not sure why.
>>
>> When running the attached code, I intend to divide all elements
>> in the
>> matrix by a constant factor of 10. If I have three or fewer rows and
>> 1024 columns, I get the expected result. If I have four or more rows
>> (with the same number of columns), suddenly my scaling factor
>> seems to
>> be 0.01 instead of 0.1 for the PETSc-matrix. The armadillo-based
>> matrix
>> still behaves as expected.
>>
>>
>> 1) It looks like you assume the storage in your armadillo matrix is
>> row major. I would be surprised if this was true.
>>
>> 2) I think it is unlikely that there is a problem with MatScale, so I
>> would guess either you have a memory overwrite
>> or are misinterpreting your output. If you send something I can run,
>> I will figure out which it is.
>>
>> Thanks,
>>
>> Matt
>>
>>
>> I currently do not understand that behavior, but do not see any
>> problems
>> with the code either. Are there any possible explanations for
>> that behavior?
>>
>> Thank you very much,
>>
>> regards,
>>
>> Roland Richter
>>
>>
>>
>> --
>> What most experimenters take for granted before they begin their
>> experiments is infinitely more interesting than any results to which
>> their experiments lead.
>> -- Norbert Wiener
>>
>> https://www.cse.buffalo.edu/~knepley/
>> <http://www.cse.buffalo.edu/~knepley/>
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