Skipping empty rows in mkl_dcsrmv()

Skipping empty rows in mkl_dcsrmv()

In my application, I use mkl_dcsrmv(). I encounter matrices with empty rows. At most, one eighth of the rows are empty. Is there any solution to skip empty rows in CSR-based sparse matrix-vector multiplication?

One solution is to remove empty rows before mkl_dcsrmv() and scatter/gather the vectors. But this does not seem feasible and it may not be efficient.

A solution, which is adopted in OSKI[1], is adding a list that contains non-empty rows and iterating over this list during the sparse matrix-vector multiplication.


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I am not sure understand the reason you want to skip such rows.Do you expect that in this way you will accelerate the speed of computing?

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