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@srajama1@brian-kelley
This is a request from @vbrunini, the goal is to allow users to chose the algorithm that cusparse uses for its SpMV kernels at runtime. This will improve performance of SpMV when a matrix has a lot of imbalance in terms of nnz per row (very long rows are not well handled by kk native algorithm).
This will require #669 to make some progress and probably some extra clean-up in the spmv_tpl interface.
Once this work is done interfacing will be required in Tpetra to make this available to users of Trilinos.
The text was updated successfully, but these errors were encountered:
@ndellingwood I am not sure if milestone 3.2 is appropriate.
We will probably get this snapshotted fairly quickly to enable the integration with Tpetra and then Sierra. I am not sure if that changes things for the 3.2 release?
@srajama1 @brian-kelley
This is a request from @vbrunini, the goal is to allow users to chose the algorithm that cusparse uses for its SpMV kernels at runtime. This will improve performance of SpMV when a matrix has a lot of imbalance in terms of nnz per row (very long rows are not well handled by kk native algorithm).
This will require #669 to make some progress and probably some extra clean-up in the spmv_tpl interface.
Once this work is done interfacing will be required in Tpetra to make this available to users of Trilinos.
The text was updated successfully, but these errors were encountered: