On Oct 22, 2025, at 2:55 AM, LEDAC Pierre <Pierre.LEDAC@cea.fr> wrote:Barry,We are currently using more and more GPU computations and heavily relying on PETSc solvers (throughboomeramg, amgx, gamg preconditioners) so yes we will report you any issues or bottlenecks.This leads to my next question: any hope, one day, of a MatGetDiagonal_SeqAIJHIPSPARSE implementation ?
We know that there is Kokkos backend as a workaround though.Thanks again,Pierre LEDAC
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+33 6 83 42 05 79De : Barry Smith <bsmith@petsc.dev>
Envoyé : mardi 21 octobre 2025 16:35:24
À : LEDAC Pierre
Cc : Junchao Zhang; petsc-users@mcs.anl.gov; BOURGEOIS Rémi
Objet : Re: [petsc-users] [GPU] Jacobi preconditionerThat is clearly a dramatic amount! Of course, the previous code was absurd, copying all the nonzero entries to the host, finding the diagonal entries, and then copying them back to the GPU.If, through Nsight, you find other similar performance bottlenecks, please let us know, and I can try to resolve them.BarryOn Oct 21, 2025, at 5:55 AM, LEDAC Pierre <Pierre.LEDAC@cea.fr> wrote:Hello,Thanks for the work !It is ok now, i check with Nsight system, the diagonal is indeed computed on the device.How much time it saves ? I guess it depends of the number of iterations for Gmres, the lower, the more it is significant.In my case, with 5 158 400 rows for the matrix, 45 iterations of GMRES, time to solve decrease 1.160s from to 0.671son a RTX A6000.So thanks again,Pierre LEDAC
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+33 6 83 42 05 79De : Barry Smith <bsmith@petsc.dev>
Envoyé : vendredi 17 octobre 2025 23:27:19
À : LEDAC Pierre
Cc : Junchao Zhang; petsc-users@mcs.anl.gov
Objet : Re: [petsc-users] [GPU] Jacobi preconditionerI have updated the MR with what I think is now correct code for computing the diagonal on the GPU, could you please try it again and let me know if it works and how much time it saves (I think it is should be significant).Thankts for your patients,BarryOn Oct 2, 2025, at 1:16 AM, LEDAC Pierre <Pierre.LEDAC@cea.fr> wrote:Yes, probably the reason I saw also a crash in my test case after a quick fix of the integer conversion.Pierre LEDAC
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De : Barry Smith <bsmith@petsc.dev>
Envoyé : jeudi 2 octobre 2025 02:16:40
À : LEDAC Pierre
Cc : Junchao Zhang; petsc-users@mcs.anl.gov
Objet : Re: [petsc-users] [GPU] Jacobi preconditionerSorry about that. The current code is buggy anyways; I will let you know when I have tested it extensively so you can try again.BarryOn Oct 1, 2025, at 3:47 PM, LEDAC Pierre <Pierre.LEDAC@cea.fr> wrote:Sorry the correct error is:/export/home/catA/pl254994/trust/petsc/lib/src/LIBPETSC/build/petsc-barry-2025-09-30-add-matgetdiagonal-cuda/src/mat/impls/aij/seq/seqcusparse/aijcusparse.cu(3765): error: argument of type "int*" is incompatible with parameter of type "const PetscInt *"GetDiagonal_CSR<<<(int)((n + 255) / 256), 256, 0, PetscDefaultCudaStream>>>(cusparsestruct->rowoffsets_gpu->data().get(), matstruct->cprowIndices->data().get(), cusparsestruct->workVector->data().get(), n, darray);Pierre LEDAC
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+33 6 83 42 05 79De : LEDAC Pierre
Envoyé : mercredi 1 octobre 2025 21:46:00
À : Barry Smith
Cc : Junchao Zhang; petsc-users@mcs.anl.gov
Objet : RE: [petsc-users] [GPU] Jacobi preconditionerHi all,Thanks for the MR, there is a build issue cause we use --with-64-bit-indices:/export/home/catA/pl254994/trust/petsc/lib/src/LIBPETSC/build/petsc-barry-2025-09-30-add-matgetdiagonal-cuda/src/mat/impls/aij/seq/seqcusparse/aijcusparse.cu(3765): error: argument of type "PetscInt" is incompatible with parameter of type "const PetscInt *"GetDiagonal_CSR<<<(int)((n + 255) / 256), 256, 0, PetscDefaultCudaStream>>>(cusparsestruct->rowoffsets_gpu->data().get(), matstruct->cprowIndices->data().get(), cusparsestruct->workVector->data().get(), n, darray);Thanks,Pierre LEDAC
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+33 6 83 42 05 79De : Barry Smith <bsmith@petsc.dev>
Envoyé : mercredi 1 octobre 2025 18:48:37
À : LEDAC Pierre
Cc : Junchao Zhang; petsc-users@mcs.anl.gov
Objet : Re: [petsc-users] [GPU] Jacobi preconditionerI have finally created an MR that moves the Jacobi accessing of the diagonal to the GPU, which should improve the GPU performance of your code. https://gitlab.com/petsc/petsc/-/merge_requests/8756Please give it a try and let us know if it causes any difficulties or, hopefully, improves your code's performance significantly.Sorry for the long delay, NVIDIA is hiring too many PETSc developers away from us.BarryOn Jul 31, 2025, at 6:46 AM, LEDAC Pierre <Pierre.LEDAC@cea.fr> wrote:Thanks Barry, I agree but didn't dare asking for that.Pierre LEDAC
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De : Barry Smith <bsmith@petsc.dev>
Envoyé : mercredi 30 juillet 2025 20:34:26
À : Junchao Zhang
Cc : LEDAC Pierre; petsc-users@mcs.anl.gov
Objet : Re: [petsc-users] [GPU] Jacobi preconditionerWe absolutely should have a MatGetDiagonal_SeqAIJCUSPARSE(). It's somewhat embarrassing that we don't provide this.I have found some potential code at https://stackoverflow.com/questions/60311408/how-to-get-the-diagonal-of-a-sparse-matrix-in-cusparseBarryOn Jul 28, 2025, at 11:43 AM, Junchao Zhang <junchao.zhang@gmail.com> wrote:Yes, MatGetDiagonal_SeqAIJCUSPARSE hasn't been implemented. petsc/cuda and petsc/kokkos backends are separate code.
If petsc/kokkos meet your needs, then just use them. For petsc users, we hope it will be just a difference of extra --download-kokkos --download-kokkos-kernels in configuration.--Junchao ZhangOn Mon, Jul 28, 2025 at 2:51 AM LEDAC Pierre <Pierre.LEDAC@cea.fr> wrote:Hello all,We are solving with PETSc a linear system updated every time step (constant stencil but coefficients changing).The matrix is preallocated once with MatSetPreallocationCOO() then filled each time step with MatSetValuesCOO() and we use device pointers for coo_i, coo_j, and coefficients values.It is working fine with a GMRES Ksp solver and PC Jacobi but we are surprised to see that every time step, during PCSetUp, MatGetDiagonal_SeqAIJ is called whereas the matrix is on the device. Looking at the API, it seems there is no MatGetDiagonal_SeqAIJCUSPARSE() but a MatGetDiagonal_SeqAIJKOKKOS().Does it mean we should use Kokkos backend in PETSc to have Jacobi preconditioner built directly on device ? Or I am doing something wrong ?NB: Gmres is running well on device.I could use -ksp_reuse_preconditioner to avoid Jacobi being recreated each solve on host but it increases significantly the number of iterations.Thanks,<pastedImage.png>Pierre LEDAC
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