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My systems are sparse, but might not fit on the GPU when factorized. Actually, usually I do CPU stuff with lots of ram, and Pardiso, so it isn’t an issue.

But I was hoping to try out something like ILU+bicgstab on the GPU and the python-verse seems like it has the lowest barrier-to-entry for just playing around.



For my tasks, I had some success with algebraic multigrid solvers as preconditioner, for example from AMGCL or PyAMG. They are also reasonably easy to get started with.

https://github.com/pyamg/pyamg

https://github.com/ddemidov/amgcl

But I only have to deal with positive definite systems, so YMMV.

I am not sure whether those libraries can deal with multiple right-hand sides, but most complexity is in the preconditioners anyway.




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