Re: [deal.II] Parallelizing a code with Linear Operators and Packaged Operations

[Jean-Paul Pelteret]

Hi Kubra,

Someone asked a similar question just a few day ago, so I have some information pre-prepared for you. 

LinearOperators do support Trilinos linear algebra classes, but there is no implementation for PETSc yet. The documentation is lacking a little bit in explaining how to use the parallelised version of LinearOperators, but I’d recorded this deficiency in this issue, along with a couple of examples. 

https://github.com/dealii/dealii/issues/12466

The key points are 

1. the use of the template parameter, e.g. linear_operator<TrilinosWrappers::MPI::Vector>(…), and,

2. the need for exemplars when wrapping preconditioners in LinearOperators.

As for PETSc support, if this is something that you’d be interested in adding to the library, then we’d very much appreciate the contribution and would be happy to help you along the way.

Best,

Jean-Paul

On 30. Jun 2021, at 00:12, Kubra Karayagiz (Alumni) <kkara...@alumni.sabanciuniv.edu> wrote:

Hello all,

I have a code in which I extensively use linear operators and packaged operations to make matrix inverses and solve the system of equations. I am wondering if such a code would be parallelized via PETSc and MPI, or any other way.

Thanks,

Kubra

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[Kubra Karayagiz (Alumni)]

Dear Jean-Paul,

On Wed, Jun 30, 2021 at 12:06 PM Jean-Paul Pelteret <jppel...@gmail.com> wrote:

Hi Kubra,

Someone asked a similar question just a few day ago, so I have some information pre-prepared for you. 

LinearOperators do support Trilinos linear algebra classes, but there is no implementation for PETSc yet. The documentation is lacking a little bit in explaining how to use the parallelised version of LinearOperators, but I’d recorded this deficiency in this issue, along with a couple of examples. 

https://github.com/dealii/dealii/issues/12466

The key points are 

1. the use of the template parameter, e.g. linear_operator<TrilinosWrappers::MPI::Vector>(…), and,

2. the need for exemplars when wrapping preconditioners in LinearOperators.

Many thanks for your response and for sharing the information. I asked about PETSc, just because I was following step-17 to make my code parallel. I will try using Trilinos, then.  

As for PETSc support, if this is something that you’d be interested in adding to the library, then we’d very much appreciate the contribution and would be happy to help you along the way.

Thanks for offering help. I am quite a new user of deal.ii. I hope that I can contribute to it in the future :)

Best Regards,

Kubra 

Best,

Jean-Paul

On 30. Jun 2021, at 00:12, Kubra Karayagiz (Alumni) <kkara...@alumni.sabanciuniv.edu> wrote:

Hello all,

I have a code in which I extensively use linear operators and packaged operations to make matrix inverses and solve the system of equations. I am wondering if such a code would be parallelized via PETSc and MPI, or any other way.

Thanks,

Kubra

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