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199 bytes added ,  14:59, 10 March 2016
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Any comparisons should be based on a common dataset. I downloaded from https://www.dectris.com/datasets.html their latest dataset
 
Any comparisons should be based on a common dataset. I downloaded from https://www.dectris.com/datasets.html their latest dataset
ftp://dectris.com/EIGER_16M_Nov2015.tar.bz2 (900 frames) and processed it on a single unloaded CentOS7.2 64bit machine with dual Intel(R) Xeon(R) CPU E5-2667 v2 @ 3.30GHz , HT enabled (showing 32 processors in /proc/cpuinfo), on a local XFS filesystem (all defaults), with four JOBs and 12 PROCESSORS (the XDS.INP that Dectris provides suggests 8 JOBs of 12 PROCESSORS, but I changed that).
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ftp://dectris.com/EIGER_16M_Nov2015.tar.bz2 (900 frames) and processed it on a single unloaded CentOS7.2 64bit machine with dual Intel(R) Xeon(R) CPU E5-2667 v2 @ 3.30GHz , HT enabled (showing 32 processors in /proc/cpuinfo), on a local XFS filesystem (all defaults), with four JOBs and 12 PROCESSORS (the XDS.INP that Dectris provides suggests 8 JOBs of 12 PROCESSORS, but I changed that). The numbers below refer to the H5ToXds binary as used in the script below.
    
The timing, using the latest XDS (BUILT=20151231), is on the first run
 
The timing, using the latest XDS (BUILT=20151231), is on the first run
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  Total elapsed wall-clock time for XDS      120.1 sec
 
  Total elapsed wall-clock time for XDS      120.1 sec
 
so there's still some room for improvement.
 
so there's still some room for improvement.
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With program versions as of 2016-03-10, miniCBF is practically as fast as H5ToXds binary; hdf2mini-cbf is somewhat slower.
    
== A script for faster XDS processing of Eiger data ==
 
== A script for faster XDS processing of Eiger data ==
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