On Wednesday 16 March 2011 11:05:14 AM Francesc Alted wrote:
> A Wednesday 16 March 2011 09:52:10 Yngve Inntjore Levinsen escrigué:
> > Dear hierarchical people,
> > 
> > I have currently converted a piece of code from using a simple ascii
> > format for output into using HDF5. What the code does is at every
> > iteration dumping some information about particle
> > energy/trajectory/position to the ascii file (this is a particle
> > tracking code).
> > 
> > Initially I then did the same with the HDF5 library, having a
> > unlimited  row dimension in a 2D array and using h5extend_f to
> > extend by one element each time and writing a hyperslab of one row
> > to the file. As some (perhaps most) of you might have guessed or
> > know already, this was a rather bad idea. The file (without
> > compression) was about the same size as the ascii file (but
> > obviously with higher precision), and reading the file in subsequent
> > analysis was at least an order of magnitude slower.
> > 
> > I then realized that I probably needed to write less frequently and
> > rather keeping a semi-large hyperslab in memory. I chose a hyperslab
> > of 1000 rows, but otherwise using the same procedure. This seems to
> > be both fast and with compression creating quite a bit smaller file.
> > I tried even larger slabs, but did not see any speed improvement in
> > my initial testing
> > 
> > My question really was just if there are some recommended ways to do
> > this? I would imagine I am not the first that want to use HDF5 in
> > this way, dumping some data at every iteration of a given
> > simulation, without having to keep it all in memory until the end?
> 
> For getting a good performance is very important your chunksize.  
> Typical figures for serial I/O are between 32 KB and 1 MB, depending the 
> final size of the dataset.  Which one you are using?
> 
> 

Thank you for your reply,

I currently use a chunk size of 9x1024 floats, which by my calculations would 
be 4.5 kB. You say I should still go up by a factor 10-100 in chunk size then?

Cheers,
Yngve

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