cuSolver eigen decomposition support #189
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Add support for cuSolver's cusolverDn<t>syevd eigen decomposition as an alternative to CULA's implementation of LAPACK _geev.
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Thanks for the contribution. Can you update the eig docstring with a note indicating that the CUSOLVER backend can only be used with symmetric/Hermitian input matrices? |
This reverts commit bcdebd1.
NVIDIA's cuSolver seems to only support symmetric/Hermitian matrix eigen decomposition. Making a note of that in the documentation. This should probably be addressed with a more proper fix at a later date, supporting general matrices like LAPACK geev does.
Sync up with mainline
This reverts commit afe447f.
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I have finally made the requested updates in the docstring. I also reverted some extra commits I have made. |
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Thanks! |
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Hi @lebedov,
Seeing the CFFI work in #88, I do not know if there is value in adding cuSolver eigen decomposition support in the manner that I have, but I had found a need for the cuSolver support in skcuda.linalg.eig. I thought I might open a PR in case it was useful. There is likely more work to do since cuSolver doesn't seem to implement the LAPACK geev functionality like CULA and my approach seems to not work for complex matrices.
I am new to the project and would welcome any feedback on this.