[petsc-users] BAIJCUSPARSE?

[Xiangdong]

Thanks for your information. Glad to hear that BAIJ gpu support is on the
way. Waiting a few weeks is not a issue at all. Once you finish the BAIJ
GPU interface, could you please make an announcement here or in the change
log?

Thank you.

Xiangdong

On Sat, Oct 26, 2019 at 12:11 AM Mills, Richard Tran <rtmills at anl.gov>
wrote:

> Xiangdong,
>
> cuSPARSE does support block compressed sparse row (BAIJ) format, but we
> don't currently support that cuSPARSE functionality in PETSc. It should be
> easy to add, but we are currently refactoring the way we interface with
> third party GPU libraries such as cuSPARSE, and it would probably make more
> sense to add this support after that refactor is done. Do you need this
> right away, or could it wait maybe a few weeks until this is completed?
>
> Best regards,
> Richard
>
> On Fri, Oct 25, 2019 at 1:50 PM Smith, Barry F. via petsc-users <
> petsc-users at mcs.anl.gov> wrote:
>
>>
>>   You would need to investigate if the Nvidia cuSPARSE package supports
>> such a format. If it does then it would be reasonably straightforward for
>> you to hook up the required interface from PETSc. If it does not then it is
>> a massive job to provide such code and you should see if any open source
>> packages provide such CUDA support and then you could hook PETSc up to use
>> that.
>>
>>   Barry
>>
>>
>> > On Oct 25, 2019, at 3:43 PM, Xiangdong via petsc-users <
>> petsc-users at mcs.anl.gov> wrote:
>> >
>> > Can anyone comment on the PETSc's GPU version of Block CSR, say
>> BAIJCUSPARSE? Does it make sense to have such format on GPU? Is it under
>> development?
>> >
>> > Thank you.
>> >
>> > Xiangdong
>> >
>> > On Wed, Oct 23, 2019 at 11:36 AM Xiangdong <epscodes at gmail.com> wrote:
>> > Hello everyone,
>> >
>> > I am wondering whether there is a format BAIJCUSPARSE for Block CSR on
>> GPU.
>> >
>> > In my current code, the Jacobian matrix preallocated and assembled as
>> BAIJ format. Do I have to rewrite this part of code to preallocate and
>> assemble the matrix as AIJ in order to use aijcusparse?
>> >
>> > Thank you.
>> >
>> > Xiangdong
>> >
>>
>>
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