Hi,

I do struggle with similar questions. I have datasets with dimensions
1 and 2, were d1 can very from 10 - 20000k
and d2 veries from 2k - 700k.

I tried various chunk sizes 128, 256, 512, and did various test with

H5Pset_cache(fileaccessProp_, 1, nr_loaded_chunks  , bytes ,
preemption_policy_ );

// for instance I configure:
nr_loaded_chunks = static_cast<size_t>( (maxdim_ / minchdim + 10 ) * 1.2 );
bytes =  static_cast<hsize_t>(  1.2 * sT * maxdim_ * maxchdim  );

with minchdim, maxchdim = 128, 256, 512 respectively, and sT size of
storage type in bytes.

I played around with various chunk dimensionsion and was changing file
access properties (the multiplicator 1.2 ).
Problem is that, although I am able to optimize the access for a
particular dataset dimension e.g. 700x150k
The performance will break down for a dataset of different size, it
can get much worse even for a dataset of smaller size.
e.g. 500x70k.

The other problem I have is. If I created an dataset and closed the
file with some optimized set of access properties how can I retrieve
them to use them when opening the file?

Eryk





On 13 August 2010 06:16, Hoang Trong Minh Tuan
<[email protected]> wrote:
> Hi all
>   I read some performance issues and it's said that large number of chunk
> can increase the B-tree which eventually decrease the performance. Also, the
> default cache is the smaller of 1MB or 512 chunks.
>   My situation is that my simulation program will produce a large data, let
> say 1-2GB. So, I want to use HDF5 with chunk and SZIP. To achieve a good
> enough performance, may I ask you  what is the recommend (1) chunk size, (2)
> cache size. The data is written to SAS harddrive.  Please let me know any
> other issues that I should notice.
>
> Thank you,
> Tuan
>
>
> _______________________________________________
> Hdf-forum is for HDF software users discussion.
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>



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