Hi Bruno,

Thanks for the suggestion. It seems to be working fine. 

Thanks,
Kumar Saurabh

On Sunday, March 19, 2023 at 7:23:06 PM UTC-7 blais...@gmail.com wrote:

> Dear Kumar,
>
> You can monitor the processes using your OS to verify that.
> If you are loading a relatively large triangulation, this will be very 
> apparent since the memory footprint of one process will be significantly 
> larger. Even a quick "top" will enable you to see this.
> Best
> Bruno
>
> On Wednesday, March 15, 2023 at 5:22:33 p.m. UTC-4 kumar.sau...@gmail.com 
> wrote:
>
>> HI Peter,
>>
>> Thanks a lot. It seems to work. If I am understanding it correctly, 
>> having group size = MPI ranks, means that only proc 0 is reading the data 
>> and distributing it. Am I correct? 
>>
>> Is it possible to verify the size of elements / memory size after the 
>> file is read and before the partition to actually verify that only proc 0 
>> is reading and storing before partitioning?
>>
>> Thanks,
>> Kumar Saurabh
>> On Tuesday, March 14, 2023 at 11:33:04 PM UTC-7 peterr...@gmail.com 
>> wrote:
>>
>>> Hi Kumar,
>>>
>>> take a look at 
>>> https://www.dealii.org/developer/doxygen/deal.II/namespaceTriangulationDescription_1_1Utilities.html#aefc3e841bcfd37714a07d04e42c8ffca
>>> .
>>>
>>> Hope this helps,
>>> Peter
>>>
>>> On Wednesday, 15 March 2023 at 01:44:17 UTC+1 kumar.sau...@gmail.com 
>>> wrote:
>>>
>>>> Hi, 
>>>>
>>>> I am trying to perform the mesh partition using the mesh generated from 
>>>> GMSH. The generated mesh is quite big with around 500K elements. 
>>>>
>>>> I am new to deal.ii. But I get the impression that the 
>>>> parallel::distributed::Triangulation works only from the 
>>>> quadrilateral/hexahedral meshes and uses p4est backend.
>>>>
>>>> I tried GridTools::partition_triangulation which tends to repeat the 
>>>> elements on all processor. This is not ideal as the number of elements is 
>>>> too large.
>>>>
>>>> I want to ask if I can use parallel::fullydistributed::Triangulation to 
>>>> partition the tetrahedrals without repeating on all the processors. If so, 
>>>> is there any examples for the same. All the examples I saw tends to work 
>>>> for Hypercube type of meshes.
>>>>
>>>> Thanks,
>>>> Kumar Saurabh
>>>>
>>>

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