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<span style="font-size:12pt;color:rgb(0, 0, 0) !important">Hi PETSc-developers, </span>
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Could the linear solver table (at <a href="https://petsc.org/main/overview/linear_solve_table/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="0">
https://petsc.org/main/overview/linear_solve_table/</a>) be updated with information regarding direct solvers that work on mpiaijkokkos/kokkos (or mpiaijcusparse/cuda) matrix/vector types?
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The use case for this solver would be to repeatedly invert the same matrix so any solver that is able to perform the SpTRSV phase entirely using GPU matrices/vectors would be helpful (even if the initial factorization is performed using CPU matrices/vectors
with GPU offload), this functionality of course being the corresponding distributed memory counterpart to the current device-solve capabilities of the seqaijkokkos matrix type (provided by the kokkos-kernel SpTRSV routines). The system arises from a (7-pt)
finite difference discretization of the 3D Poisson equation with a mesh of 256x256x1024 (likely necessitate using multiple GPUs) with dirichlet boundary conditions.<br>
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The recent article on PETScSF (arXiv:2102.13018) describes an asynchronous CG solver that works well on communication bound multi-GPU systems. Is this solver available now and can it be combined with GAMG/hypre preconditioning ?<br>
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<a href="https://petsc.org/main/overview/linear_solve_table/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="1">Summary of Sparse Linear Solvers Available In PETSc — PETSc v3.16.2-540-g1213a6437a documentation</a></div>
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Last updated on 2022-01-01T03:38:46-0600 (v3.16.2-540-g1213a6437a).</div>
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petsc.org</div>
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Thank You,<br>
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<div style="font-size:12.8px">Sajid Ali (he/him) | Research Associate<br>
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<div style="font-size:12.8px">Scientific Computing Division<br>
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<div style="font-size:12.8px">Fermi National Accelerator Laboratory<br>
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<span style="font-size:12.8px"><a href="http://s-sajid-ali.github.io" target="_blank">s-sajid-ali.github.io</a></span></div>
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