Re: [petsc-users] Read/Write large dense matrix

[Barry Smith]

   By default PETSc MatView() to a binary viewer uses the "standard" compressed 
sparse storage format. This is not efficient (or reasonable) for dense matrices 
and 
produces issues with integer overflow.

   To store a dense matrix as dense on disk, use the PetscViewerFormat of 
PETSC_VIEWER_NATIVE. So for example

   PetscViewerPushFormat(viewer,PETSC_VIEWER_NATIVE);
   MatView(mat, viewer);
   PetscViewerPopFormat(viewer);


> On Aug 5, 2024, at 1:10 PM, Sreeram R Venkat <srven...@utexas.edu> wrote:
> 
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> I have a large dense matrix (size ranging from 5e4 to 1e5) that arises as a 
> result of doing MatComputeOperator() on a MatShell. When the total number of 
> nonzeros exceeds the 32 bit integer value, I get an error (MPI buffer size 
> too big) when trying to do MatView() on this to save to binary. Is there a 
> way I can save this matrix to load again for later use? 
> 
> The other thing I tried was to save each column as a separate dataset in an 
> hdf5 file. Then, I tried to load this in python, combine them to an np array, 
> and then create/save a dense matrix with petsc4py. I was able to create the 
> dense Mat, but the MatView() once again resulted in an error (out of memory). 
> 
> Thanks,
> Sreeram