[petsc-users] MatVec on GPUs

[Swarnava Ghosh]

Thanks Matt and Junchao.

Sincerely,
Swarnava

On Sun, Oct 17, 2021 at 7:50 PM Matthew Knepley <knepley at gmail.com> wrote:

> On Sun, Oct 17, 2021 at 7:12 PM Swarnava Ghosh <swarnava89 at gmail.com>
> wrote:
>
>> Do I need convert the MATSEQBAIJ to a cuda matrix in code?
>>
>
> You would need a call to MatSetFromOptions() to take that type from the
> command line, and not have
> the type hard-coded in your application. It is generally a bad idea to
> hard code the implementation type.
>
>
>> If I do it from command line, then are the other MatVec calls are ported
>> onto CUDA? I have many MatVec calls in my code, but I specifically want to
>> port just one call.
>>
>
> You can give that one matrix an options prefix to isolate it.
>
>   Thanks,
>
>      Matt
>
>
>> Sincerely,
>> Swarnava
>>
>> On Sun, Oct 17, 2021 at 7:07 PM Junchao Zhang <junchao.zhang at gmail.com>
>> wrote:
>>
>>> You can do that with command line options -mat_type aijcusparse
>>> -vec_type cuda
>>>
>>> On Sun, Oct 17, 2021, 5:32 PM Swarnava Ghosh <swarnava89 at gmail.com>
>>> wrote:
>>>
>>>> Dear Petsc team,
>>>>
>>>> I had a query regarding using CUDA to accelerate a matrix vector
>>>> product.
>>>> I have a sequential sparse matrix (MATSEQBAIJ type). I want to port a
>>>> MatVec call onto GPUs. Is there any code/example I can look at?
>>>>
>>>> Sincerely,
>>>> SG
>>>>
>>>
>
> --
> 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
>
> https://www.cse.buffalo.edu/~knepley/
> <http://www.cse.buffalo.edu/~knepley/>
>
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