[petsc-users] Inquiry about configuring PETSc with AOCL BLAS/LAPACK

[Matthew Knepley]

On Mon, Aug 11, 2025 at 12:32 PM Yongzhong Li <yongzhong.li at mail.utoronto.ca>
wrote:

> Dear PETSc’s developer,
>
> Hi, I am a user of PETSc. I have some questions about how we can configure
> PETSc with AOCL BLAS and LAPACK.
>
>
>
> Previously, we linked PETSc with Intel MKL BLAS. This solution provides us
> with much better multithreading capability for sparse matrix-vector product
> compared with configuring PETSc with OpenBLAS. Now, our compute nodes have
> been upgraded with AMD CPUs, we are considering switching from Intel MKL to
> AMD AOCL.
>
> My questions are:
>
>
>
>    1. If we configure PETSc in compile time with *—with-blaslapack-dir =
>    $AOCLROOT*, will we be able to use AOCL BLAS as the backend of PETSc
>    MatMult() API?
>
>
Do you mean use the AMD sparse matvec? We have a HIP implementation (
https://urldefense.us/v3/__https://petsc.org/main/manualpages/Mat/MATAIJHIPSPARSE/__;!!G_uCfscf7eWS!buskXbl-Io-3aDFucXGpiYbfFRVN3fRcpRosr-WXF1em8NBn5a8PHltFj0SILAhBQspywGsr9f7BuSqHFfDA$ ), but nothing for
AOCL comparable to the AIJMKL class. If you think we need it, we would
certainly help implement it.


>
>    1.
>    2. What if AOCL BLAS and AOCL LAPACK are installed in two different
>    directories, not under AOCLROOT?
>
>
You would use -with-blaslapack-lib=[liblist]


>
>    1.
>    2. PETSc has MatAIJMKL type for sparse matrix stored in Intel MKL
>    format. Does PETSc also have another type for AMD AOCL?
>
>
No, but it would be straightforward to add.

  Thanks,

     Matt


> Thanks!
>
> Yongzhong
>


-- 
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener

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