We will let you know when this is ready, Xiangdong.

Let me address a part of your original question that I don't think anyone else 
noticed:

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?

If you are doing your preallocation via MatXAIJSetPreallocation() and setting 
values via MatSetValuesBlocked() (or its variants), you can change the type to 
AIJ (or AIJCUSPARSE) instead of BAIJ and things should just work. (If not, let 
us know, as this may mean a bug in PETSc.) If you are calling 
MatSetFromOptions(), you should be able to do this on the command line (or 
otherwise through the PETSc options database) -- no code rewrites needed.

Best regards,
Richard


On 10/28/19 7:40 AM, Xiangdong wrote:
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 
<rtmi...@anl.gov<mailto:rtmi...@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@mcs.anl.gov<mailto:petsc-users@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@mcs.anl.gov<mailto:petsc-users@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 
> <epsco...@gmail.com<mailto:epsco...@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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