2016-10-28 14:17 GMT+02:00 Peter Steinbach <[email protected]>:
> Hi Elvis,
>
> interesting I am mostly looking into 3D optical tomography images (which
> exclusively use voxels represented by integers).
>
>>
>> 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).
>
>
> We've seen a rough factor of (2.+/-0.5) with lz4 r131 in compression as well
> with unfiltered data. In my cases we are mostly interested in high
> compression bandwidth and high compression ratio. lz4 so far gives
> compression bandwidths up to 1GB/s depending on the quality aspired (of
> course the compression ratios tend to be lower then).
>
>>
>> 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.
>
>
> to be honest, I am still surprised that hdf5 doesn't contain these
> state-of-the-art encoders, but rather ships bzip2 et al. which are painfully
> slow and don't make any account of computer architectures (lz4 is cache
> aware AFAIK). But hey, coming up with a hdf5 compressor is straight forward
> after one wrangled with the docs. I just don't know how contributing to hdf5
> works.

Yea me too, but I believe the HDF5 group has as a goal to open up the
development a bit more, which would be very welcome. So lets hope for
that.

Elvis

>
>>
>> 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.
>
>
> indeed, that would be interesting to see.
> Best,
> Peter
>
>
>>
>> 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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>>>>
>>>>
>>>>
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>
>
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