2016-10-28 13:59 GMT+02:00 Elvis Stansvik <[email protected]>:

> 2016-10-28 13:23 GMT+02:00 Peter Steinbach <[email protected]>:
> > I second this request big time and would add zstd, if we are already
> trying
> > out various encoders. ;)
>
> This may not be of interest, and does not include zstd, but I'm
> attaching an excerpt from some of the results I got when back when
> doing our basic benchmarking of some algorithms (all lossless).
>
> It was based on those that we settled on Blosc_LZ4HC at level 4, since
> we were looking for very fast decompression times, while longer
> compression times and slightly larger file size was acceptable up to
> certain points. The gzip results are included mostly because that's
> what we were using at the time and I wanted them as a comparison, but
> we knew we wanted something else. The input for those benchmarks was a
> 500x300x300 float dataset containing a tomographic 3D image.
>

Zstd was included in Blosc a while ago:

http://blosc.org/blog/zstd-has-just-landed-in-blosc.html

and its performance really shines, even on real data:

http://alimanfoo.github.io/2016/09/21/genotype-compression-benchmark.html

(although here, being only integers of 1 byte, only the BITSHUFFLE filter
is used, but not the faster SHUFFLE).

As Blosc offers the same API for a number of codecs, trying it in
combination with Zstd should be really easy.


> I might try to dig up the script I used for the benchmark and see if
> we still have the input I used, and do a test with lossy ZFP. It could
> be very interesting for creating 3D "thumbnails" in our application.
>

It would be nice if your benchmark code (and dataset) can be made publicly
available so as to serve to others as a good comparison.


>
> Elvis
>
> >
> > P
> >
> >
> > On 10/28/2016 01:12 PM, Elvis Stansvik wrote:
> >>
> >> 2016-10-28 1:53 GMT+02:00 Miller, Mark C. <[email protected]>:
> >>>
> >>> Hi All,
> >>>
> >>> Just wanted to mention a new HDF5 floating point compression plugin
> >>> available on github...
> >>>
> >>> https://github.com/LLNL/H5Z-ZFP
> >>>
> >>> This plugin will come embedded in the next release of the Silo library
> as
> >>> well.
> >>
> >>
> >> Thanks for the pointer. That's very interesting. I had not heard about
> >> ZFP before. The ability to set a bound on the error in the lossless
> >> case seems very useful.
> >>
> >> Do you know if there has been any comparative benchmarks of ZFP
> >> against other compressors?
> >>
> >> After some basic benchmarking, we recently settled on Blosc_LZ4HC at
> >> level 4 for our datasets (3D float tomography data), but maybe it
> >> would be worthwhile to look at ZFP as well..
> >>
> >> Best regards,
> >> Elvis
> >>
> >>>
> >>> --
> >>> Mark C. Miller, LLNL
> >>>
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-- 
Francesc Alted
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