<html><head></head><body><div style="font-family: Verdana;font-size: 12.0px;"><div> I see. What I want to do is to calculate the matrix product C=A*B' between two sparse matrices A=(A11 0 , A21 0) and B=(B11 0 , B21 0) where C will be dense in the end but I just want to calculate some selected entries C_ij of C. At the moment I extract submatricies for the corresponding rows and columns, so I was wondering if there is a simpler or performancer-wise faster way. I assume there is not such thing as a restricted MatMatMul which just calculated the lets say predefined nonzero entries of C.
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These are "internal" routines that we rarely expect end users to use since they are specific for particular matrix implementations. As such they are also kind of strange to use from Fortran since none of the AIJ data structures can be made visible to Fortran.<br/>
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Could you explain why you want them from Fortran and maybe we'll have alternative suggestions on how you can achieve the same effect.<br/>
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Barry<br/>
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> On Jul 5, 2018, at 3:05 AM, Marius Buerkle <mbuerkle@web.de> wrote:<br/>
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> or MatMPIAIJGetLocalMatCondensed for that matter.<br/>
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> Hi !<br/>
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> Is MatMPIAIJGetSeqAIJ implemented for fortran?<br/>
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> best,<br/>
> Marius<br/>
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