Hello,

Nemesis IO reads the mesh in parallel (not the solution); however, the
reader destroys the multi-level structure of the mesh. Is there a work
around to handle this problem?

Regards,

Jahrul

On Mon, Dec 4, 2017 at 3:40 PM, Roy Stogner <royst...@ices.utexas.edu>
wrote:

>
> On Mon, 4 Dec 2017, John Peterson wrote:
>
> On Mon, Dec 4, 2017 at 10:59 AM, Alam, Jahrul <al...@mun.ca> wrote:
>>
>> Thanks for the clarification. Can you suggest a work around? If I do,
>>> mesh0.read(lshaped_0.vtu) and mesh1.read(lshaped_1.vtu), and so on, is it
>>> possible to end up with a DistributedMesh by combining mesh0,
>>> mesh1,............. at the user level?
>>>
>>> Or, is there another format that supports parallel read and write?
>>>
>>
>> I wouldn't worry about parallel read/write until you get to a point that
>> you are working with a Mesh that's too big to even be opened on one
>> processor.
>>
>> Your code can still run in parallel even when you read a mesh in serial.
>>
>
> For the sake of completeness, I'll point out that you can read and
> write distributed meshes in either the standard Nemesis format or in
> a libMesh-specific (and libMesh-version-specific! beware!)
> "Checkpoint" format.  (Our libMesh-specific XDR format let you write
> solution data in parallel, but not mesh data currently)
>
> I would definitely suggest taking John's advice, though.  For archival
> purposes of final solutions, serialized mesh files are just easier to
> deal with.  Parallel mesh files become useful when you have so much
> data to write out (transient problem with a good solver with which you
> want to make a movie?) that I/O becomes a bottleneck.
> ---
> Roy
>
>
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-- 
=====================================
Jahrul Alam, PhD
Assistant Professor, Dept of Mathematics and Statistics
Memorial University, St John's, NL, Canada
http://www.math.mun.ca/~alamj/
eMail: al...@mun.ca
Office: HH-3035, Tel: 709-737 8071
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