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I am looking for a solution for C = A * B, where A and B are both symmetric sparse matrices (CSR with 3array variation), and the results is also a symmetric sparse matrix (CSR with 3array variation).
I found "mkl_csrmultcsr" but as I understand both A and B must include full storage of data (upper + lower diagonal terms) whereas I have A & B and only upper diagonals stored.
Thanks
Bulent
I found "mkl_csrmultcsr" but as I understand both A and B must include full storage of data (upper + lower diagonal terms) whereas I have A & B and only upper diagonals stored.
Thanks
Bulent
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Bulent,
I do not see the function for such computation. I can create a feature in the internal database, so our engineer team can check it in the future release.
Thanks,
Chao
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Hi Chao
That would be great if you include it the list of developments.
For a typical finite element application, we usually deal with symmetric matrices which saves us a lot of memory and computation time. In such an application (Eigen sub-space solution), I need to perform matrix multiplication of 2 sym. sparse matrices.
Regards
Bulent
That would be great if you include it the list of developments.
For a typical finite element application, we usually deal with symmetric matrices which saves us a lot of memory and computation time. In such an application (Eigen sub-space solution), I need to perform matrix multiplication of 2 sym. sparse matrices.
Regards
Bulent
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Bulent
For this feature request, we have some questions:
"By computing the product of symmetric sparse matrices and getting SYMMETRIC SPARSE result"
In many cases, such a product is non-symmetric, and dense. Does you some mean some specific matrices to be multiplied?
Thanks,
Chao

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