How many ranks are you using? Is it a sparse matrix with MPIAIJ? 

   The intention is that for parallel runs the first rank reads in its own part 
of the matrix, then reads in the part of the next rank and sends it, then reads 
the part of the third rank and sends it etc. So there should not be too much of 
a blip in memory usage. You can run valgrind with the option for tracking 
memory usage to see exactly where in the code the blip occurs; it could be a 
regression occurred in the code making it require more memory. But internal MPI 
buffers might explain some blip.

  Barry


> On Oct 7, 2021, at 9:50 AM, Michael Werner <[email protected]> wrote:
> 
> Hello,
> 
> I noticed that there is a peak in memory consumption when I load an
> existing matrix into PETSc. The matrix is previously created by an
> external program and saved in the PETSc binary format.
> The code I'm using in petsc4py is simple:
> 
> viewer = PETSc.Viewer().createBinary(<path/to/existing/matrix>, "r",
> comm=PETSc.COMM_WORLD)
> A = PETSc.Mat().create(comm=PETSc.COMM_WORLD)
> A.load(viewer)
> 
> When I run this code in serial, the memory consumption of the process is
> about 50GB RAM, similar to the file size of the saved matrix. However,
> if I run the code in parallel, for a few seconds the memory consumption
> of the process doubles to around 100GB RAM, before dropping back down to
> around 50GB RAM. So it seems as if, for some reason, the matrix is
> copied after it is read into memory. Is there a way to avoid this
> behaviour? Currently, it is a clear bottleneck in my code.
> 
> I tried setting the size of the matrix and to explicitly preallocate the
> necessary NNZ (with A.setSizes(dim) and A.setPreallocationNNZ(nnz),
> respectively) before loading, but that didn't help.
> 
> As mentioned above, I'm using petsc4py together with PETSc-3.16 on a
> Linux workstation.
> 
> Best regards,
> Michael Werner
> 
> -- 
> 
> ____________________________________________________
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> Institut für Aerodynamik und Strömungstechnik | Bunsenstr. 10 | 37073 
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> 
> Michael Werner 
> Telefon 0551 709-2627 | Telefax 0551 709-2811 | [email protected]
> DLR.de
> 
> 
> 
> 
> 
> 
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> 
> 

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