Thank you  Mohamad,

yes, actually I'm using small amount of data. I'm going to try with bigger
ones and see the results

Best regars,
Víctor.

2015-08-11 17:40 GMT+02:00 Mohamad Chaarawi <[email protected]>:

> Hi Victor,
>
>
>
> Creating datasets (or any other object) is a collective operation and so
> you need all processes calling the H5Dcreate() for every dataset.
>
> Accessing raw data (H5Dwrite/H5Dread) on each dataset however can be
> independent or collective, so you can create all the datasets, one for each
> process collectively, then have each process access its dataset
> independently.
>
>
>
> Bad performance comes from how much data you are accessing from each
> process. If each process is accessing small amounts of data to each dataset
> in every H5Dwrite/H5Dread, then bad performance is expected. In that case I
> suggest you try and see if accessing one big dataset collectively is an
> option for your application.
>
> But if the data size per access is large, then performance shouldn’t be
> bad.
>
>
>
> Thanks,
>
> Mohamad
>
>
>
> *From:* Hdf-forum [mailto:[email protected]] *On
> Behalf Of *victor sv
> *Sent:* Tuesday, August 11, 2015 10:21 AM
> *To:* [email protected]
> *Subject:* [Hdf-forum] [hdf-forum] One dataset per process
>
>
>
> Hello all,
>
> I'm new in this forum, sorry in advance if it's a duplicate question.
>
> I've read this post written in the year 2009:
>
>
> http://hdf-forum.184993.n3.nabble.com/hdf-forum-One-dataset-per-process-tt194128.html
>
> it talks about the bad performance of using the approach of "One dataset
> per process". Now I've checked this approach getting bad results too.
>
> Are this comments still valid?
>
> I want to write a partitioned mesh where each processor only have its own
> point of view, there isn't a global mesh concept. What's the best approach
> to do this? There is a starndard to keeping the data grouped per processor
> inside the HDF5 file hierarchy (groups,datasets,etc.)?
>
> Thanks in advance,
>
> Víctor.
>
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