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Processing of [https://www.dectris.com/EIGER_X_Features.html Eiger] data is different from processing of conventional data, because the frames are wrapped into [http://www.hdfgroup.org HDF5] files (ending with .h5). | Processing of [https://www.dectris.com/EIGER_X_Features.html Eiger] data is different from processing of conventional data, because the frames are wrapped into [http://www.hdfgroup.org HDF5] files (often ending with .h5). However, with the [[LIB]] feature of XDS and a suitable plugin ([https://github.com/dectris/neggia ''Neggia''] or [https://github.com/DiamondLightSource/durin ''Durin'']), processing is as straightforward as before. | ||
== General aspects == | == General aspects == | ||
# | # The framecache of XDS uses memory to save on I/O; it saves a frame in RAM after reading it for the first time. By default, each XDS (or mcolspot/mintegrate) job stores NUMBER_OF_IMAGES_IN_CACHE=DELPHI/OSCILLATION_RANGE images in memory which corresponds to one DELPHI-sized batch of data. This requires (number of pixels)*(number of jobs)*4 Bytes per frame which amounts to 72 MB in case of the Eiger 16M when running with MAXIMUM_NUBER_OF_JOBS=1. (If DELPHI=20 and OSCILLATION_RANGE=0.05 your computer thus has to have at least 400*72MB = 29GB of memory for each job!). If memory allocation fails, the fallback is to the old behaviour of reading each frame three times (instead of once). | ||
# Dectris provides [https://www.dectris.com/ | # Dectris provides the ''Neggia'' library ([https://github.com/dectris/neggia source],[https://www.dectris.com/support/downloads/sign-in binary]) for native reading of HDF5 files, which can be loaded into XDS at runtime using the <code>[[LIB]]=</code> [http://xds.mpimf-heidelberg.mpg.de/html_doc/xds_parameters.html#LIB= keyword]. With this library (which can also be found at https://{{SERVERNAME}}/pub/linux_bin for Linux, and at https://{{SERVERNAME}}/pub/mac_bin for MacOS), no conversion to CBF or otherwise is necessary. It is therefore just as fast and efficient to read HDF5 files as any other file format. At Diamond Light Source, a different HDF5 format was developed, and this requires the [https://github.com/DiamondLightSource/durin/releases/latest ''Durin'' plugin]. The latter can also read the HDF5 files written by the Dectris software. | ||
A suitable [[XDS.INP]] may have been written by the data collection (beamline) software. Latest [[generate_XDS.INP]] (<code>generate_XDS.INP xxx_master.h5</code>) or the XDS_from_H5.py script | A suitable [[XDS.INP]] may have been written by the data collection (beamline) software. Latest [[generate_XDS.INP]] (<code>generate_XDS.INP xxx_master.h5</code>) or the [[Eiger#Script_for_generating_XDS.INP_from_master.h5|XDS_from_H5.py script]] can be used if XDS.INP is not available. | ||
== Compression == | == Compression == | ||
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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) | 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). | ||
On multi-socket machines, there are additional considerations having to do with their NUMA architecture - see [[Performance]]. | |||
=== Xeon Phi (Knights Landing, KNL) === | |||
The | The benchmark was run on a single KNL7210 processor (256 cores) set to quadrant mode and using the MCDRAM as cache. '''The environment variable OMP_PROC_BIND was set to false, or KMP_AFFINITY set to none''' (if this is not done, the scheduler seems to put all threads on one core). XDS was compiled with the -xMIC-AVX512 option of ifort. These benchmarks were performed with "warm" operating system cache, which means that the first run of a given type didn't count because it had to read all data from disk. | ||
Deviating from the Xeon benchmark setup, BACKGROUND_RANGE was set to a more realistic value of 1 50 (instead of 1 9). | |||
Using the Dectris library that makes use of the <code>[[LIB]]=</code> [http://xds.mpimf-heidelberg.mpg.de/html_doc/xds_parameters.html#LIB= option] of XDS: | |||
INIT: elapsed wall-clock time 30.4 sec | |||
COLSPOT: elapsed wall-clock time 40.7 sec | |||
INTEGRATE: total elapsed wall-clock time 52.9 sec | |||
Now additionally running with <code>numactl --preferred=1 xds_par</code> after having modified the forkintegrate script such that it starts mintegrate_par with the same numactl parameters: | |||
INIT.LP: elapsed wall-clock time 29.8 sec | |||
COLSPOT: elapsed wall-clock time 40.0 sec | |||
INTEGRATE: total elapsed wall-clock time 51.3 sec | |||
This was running with a 8GB/8GB split (''hybrid'') MCDRAM. The same run, but with 8 JOBS and 32 PROCESSORS, takes | |||
INIT.LP: elapsed wall-clock time 25.3 sec | |||
COLSPOT: elapsed wall-clock time 40.1 sec | |||
INTEGRATE: total elapsed wall-clock time 53.1 sec | |||
Back to 16 JOBS and 16 PROCESSORS, but with MCDRAM in ''flat'' mode und <code>numactl --preferred=1 xds_par</code> (thus using all 16GB for arrays, and nothing for cache): | |||
INIT.LP: elapsed wall-clock time 29.5 sec | |||
COLSPOT: elapsed wall-clock time 38.6 sec | |||
INTEGRATE: total elapsed wall-clock time 53.2 sec | |||
Now setting the KNL to SNC4 mode, and the MCDRAM to cache (using it in flat mode is impractical because the --preferred argument takes only 1 argument; to determine the correct argument requires scripting): | |||
INIT.LP: elapsed wall-clock time 29.6 sec | |||
COLSPOT.LP: elapsed wall-clock time 37.8 sec | |||
INTEGRATE: total elapsed wall-clock time 49.6 sec | |||
If the library is compiled with -mtune=knl, all times are about 1 second less. | |||
== | Conclusions: since INIT benefits from more PROCESSORs, one could run XDS twice for fastest turnaround; the first run with JOBS=XYCORR INIT and a high number of processors (99 is maximum). The second run with JOB=COLSPOT IDXREF DEFPIX INTEGRATE CORRECT, and an optimized JOBS/PROCESSORS combination. The SNC4 mode is fastest in this example - to do better than the cache mode of the MCDRAM, one needs to adapt the forkcolspot and forkintegrate script- see [[Performance]]. Other examples (with more frames) confirmed that cache mode is best for quadrant and SNC4, and resulted in quadrant mode being superior to SNC4. To optimally use the latter, one needs to thoroughly understand and properly use the relevant environment variables, in particular KMP_AFFINITY and KMP_PLACE_THREADS. | ||
For comparison, if these data are stored as CBFs, COLSPOT and INTEGRATE take 34.8 and 45.2 seconds, respectively, in SNC4 mode. However, with a cold cache (i.e. when data are read for the first time), the HDF5 files have an advantage because they are a factor 2.5 smaller, due to the better compression. | |||
== Troubleshooting == | == Troubleshooting == | ||
* make sure that master.h5 and the corresponding data.h5 files remain together as collected, and '''don't rename the data.h5 files''' - they are referred to from master.h5. If you change the names of the data.h5 files or copy them somewhere else, that link is broken unless you fix master.h5 | * make sure that master.h5 and the corresponding data.h5 files remain together as collected, and '''don't rename the data.h5 files''' - they are referred to from master.h5. If you change the names of the data.h5 files or copy them somewhere else, that link is broken unless you fix master.h5. | ||
== | == Script for generating XDS.INP from master.h5 == | ||
<div class="mw-collapsible mw-collapsed"> | |||
Expand code section below (i.e. click on blue <code>[Expand]</code> at the end of this line if there is no code visible), download it and save as XDS_from_H5.py . | |||
<div class="mw-collapsible-content"> | |||
<pre> | <pre> | ||
# | # -*- coding: utf-8 -*- | ||
== | __author__ = "AndF" | ||
__date__ = "2017/03/08" | |||
__reviewer__ = "" | |||
__version__ = "0.1.1" | |||
import sys | import sys | ||
# Path needs to be be set only if dectris.albula is not found | # Path needs to be be set only if dectris.albula is not found | ||
# i.e. if ALBULA was installed without "--python=</path/to/python_interpreter>" | # i.e. if ALBULA was installed without "--python=</path/to/python_interpreter>" | ||
# | # Uncomment below (and define correct path to ALBULA API) | ||
sys.path.insert(0,"/usr/local/dectris/albula/3. | # sys.path.insert(0,"/usr/local/dectris/albula/3.2/python") | ||
try: | try: | ||
import dectris.albula as dec | import dectris.albula as dec | ||
Line 121: | Line 97: | ||
! Characters to the right of an exclamation mark are comments. | ! Characters to the right of an exclamation mark are comments. | ||
! | ! | ||
! This file was autogenerated by XDS_from_H5.py ( | ! This file was autogenerated by XDS_from_H5.py (Mar 2017). | ||
! Please check default values before processing. | ! Please check default values before processing. | ||
! | ! | ||
Line 132: | Line 108: | ||
!====================== DETECTOR PARAMETERS ================================== | !====================== DETECTOR PARAMETERS ================================== | ||
DETECTOR=%(family)s | DETECTOR=%(family)s | ||
LIB= /usr/local/lib64/dectris-neggia.so | |||
MINIMUM_VALID_PIXEL_VALUE=0 | MINIMUM_VALID_PIXEL_VALUE=0 | ||
OVERLOAD= %(cutoff)i ! taken from HDF5 header item | OVERLOAD= %(cutoff)i ! taken from HDF5 header item | ||
Line 147: | Line 124: | ||
!====================== JOB CONTROL PARAMETERS =============================== | !====================== JOB CONTROL PARAMETERS =============================== | ||
JOB= XYCORR INIT COLSPOT IDXREF DEFPIX ! | !JOB= XYCORR INIT COLSPOT IDXREF DEFPIX ! XPLAN INTEGRATE CORRECT | ||
JOB= XYCORR INIT COLSPOT IDXREF DEFPIX INTEGRATE CORRECT | |||
!JOB= INTEGRATE CORRECT | |||
!Set maximum number of jobs and processors so that their products comes close | |||
!to the number of CPUs of the machine. | |||
MAXIMUM_NUMBER_OF_JOBS=8 !Speeds up COLSPOT & INTEGRATE on multicore machine | MAXIMUM_NUMBER_OF_JOBS=8 !Speeds up COLSPOT & INTEGRATE on multicore machine | ||
MAXIMUM_NUMBER_OF_PROCESSORS=4!< | MAXIMUM_NUMBER_OF_PROCESSORS=4!<99;ignored by single cpu version of xds | ||
!SECONDS=0 !Maximum number of seconds to wait until data image must appear | !SECONDS=0 !Maximum number of seconds to wait until data image must appear | ||
!TEST=1 !Test flag. 1,2 additional diagnostics and images | !TEST=1 !Test flag. 1,2 additional diagnostics and images | ||
Line 157: | Line 138: | ||
!ORGX and ORGY are often close to the image center, i.e. ORGX=NX/2, ORGY=NY/2 | !ORGX and ORGY are often close to the image center, i.e. ORGX=NX/2, ORGY=NY/2 | ||
ORGX= %(orgx).1f ORGY= %(orgy).1f !Detector origin (pixels). ORGX=NX/2; ORGY=NY/2 | ORGX= %(orgx).1f ORGY= %(orgy).1f !Detector origin (pixels). ORGX=NX/2; ORGY=NY/2 | ||
DETECTOR_DISTANCE= %(dist) | DETECTOR_DISTANCE= %(dist).2f ! [mm] | ||
ROTATION_AXIS= 1.0 0.0 0.0 | ROTATION_AXIS= 1.0 0.0 0.0 | ||
Line 182: | Line 163: | ||
!REIDX= 0 0 -1 0 0 -1 0 0 -1 0 0 0 | !REIDX= 0 0 -1 0 0 -1 0 0 -1 0 0 0 | ||
!FRIEDEL'S_LAW=FALSE ! Default is TRUE. | |||
!REFERENCE_DATA_SET= CK.HKL ! Name of a reference data set (optional) | !REFERENCE_DATA_SET= CK.HKL ! Name of a reference data set (optional) | ||
Line 269: | Line 250: | ||
!REFLECTING_RANGE_E.S.D.= 0.113 !half-width (mosaicity) of REFLECTING_RANGE | !REFLECTING_RANGE_E.S.D.= 0.113 !half-width (mosaicity) of REFLECTING_RANGE | ||
NUMBER_OF_PROFILE_GRID_POINTS_ALONG_ALPHA/BETA= | !The next two values could be increased up to 21 for best profiles. | ||
NUMBER_OF_PROFILE_GRID_POINTS_ALONG_GAMMA= | NUMBER_OF_PROFILE_GRID_POINTS_ALONG_ALPHA/BETA=13!used by: INTEGRATE | ||
NUMBER_OF_PROFILE_GRID_POINTS_ALONG_GAMMA=13 !used by: INTEGRATE | |||
!DELPHI= 6.0!controls the number of reference profiles and scaling factors | !DELPHI= 6.0!controls the number of reference profiles and scaling factors | ||
Line 411: | Line 393: | ||
'orgx': float(parameters["/entry/instrument/detector/beam_center_x"]), | 'orgx': float(parameters["/entry/instrument/detector/beam_center_x"]), | ||
'orgy': float(parameters["/entry/instrument/detector/beam_center_y"]), | 'orgy': float(parameters["/entry/instrument/detector/beam_center_y"]), | ||
'dist': | 'dist': float(parameters["/entry/instrument/detector/detector_distance"]) * 1000.0, | ||
'osc_range': float(parameters["/entry/sample/goniometer/omega_range_average"]), | 'osc_range': float(parameters["/entry/sample/goniometer/omega_range_average"]), | ||
'wavelength': float(parameters["/entry/instrument/beam/incident_wavelength"]), | 'wavelength': float(parameters["/entry/instrument/beam/incident_wavelength"]), | ||
Line 472: | Line 454: | ||
gap[1] + 1 + offset + n_excluded_edge_pixels, | gap[1] + 1 + offset + n_excluded_edge_pixels, | ||
0, | 0, | ||
detector_families[fam]['sizes'][det][1] + | detector_families[fam]['sizes'][det][1] + offset)) | ||
param_lines.append('\n') | param_lines.append('\n') | ||
param_lines.append('!EXCLUSION OF HORIZONTAL DEAD AREAS OF THE ' | param_lines.append('!EXCLUSION OF HORIZONTAL DEAD AREAS OF THE ' | ||
Line 481: | Line 463: | ||
param_lines.append(' UNTRUSTED_RECTANGLE= %4d %4d %4d %4d \n' % ( | param_lines.append(' UNTRUSTED_RECTANGLE= %4d %4d %4d %4d \n' % ( | ||
0, | 0, | ||
detector_families[fam]['sizes'][det][0] + | detector_families[fam]['sizes'][det][0] + offset, | ||
gap[0] - 1 + offset - n_excluded_edge_pixels, | gap[0] - 1 + offset - n_excluded_edge_pixels, | ||
gap[1] + 1 + offset + n_excluded_edge_pixels)) | gap[1] + 1 + offset + n_excluded_edge_pixels)) | ||
Line 489: | Line 471: | ||
return ('\nThis script extracts from a given HDF5 master file all metadata\n' | return ('\nThis script extracts from a given HDF5 master file all metadata\n' | ||
'required to write XDS.INP. The user is prompted for missing metadata.\n' | 'required to write XDS.INP. The user is prompted for missing metadata.\n' | ||
'If there are errors in the metadata, XDS.INP will be incorrect.\n' | |||
'\n' | '\n' | ||
'Please report shortcomings and errors to docandreas@gmail.com\n') | |||
'Please report shortcomings and errors to | |||
def help(): | def help(): | ||
Line 544: | Line 523: | ||
return raw_input("Please enter the maximum trusted pixel value.\n") | return raw_input("Please enter the maximum trusted pixel value.\n") | ||
elif (parameter == resolution_cutoff): | elif (parameter == resolution_cutoff): | ||
print "Please enter a resolution limit for processing." | |||
return raw_input("Enter '0' to let XDS decide.\n") or 0 | |||
else: | else: | ||
print "Unknown software version. Please check." | print "Unknown software version. Please check." | ||
Line 651: | Line 631: | ||
else: | else: | ||
print "\nThe HDF5 file was created with version %s of the detector firmware" % (para_version) | print "\nThe HDF5 file was created with version %s of the detector firmware" % (para_version) | ||
print "This script supports versions 1. | print "This script supports versions 1.5 and up." | ||
print "\nFile XDS.INP was not created." | print "\nFile XDS.INP was not created." | ||
print "Please extract metadata with hdfview or h5dump.\n" | print "Please extract metadata with hdfview or h5dump.\n" | ||
Line 669: | Line 649: | ||
exit(-1) | exit(-1) | ||
</pre> | </pre> | ||
</div> | |||
</div> | |||
Then, | |||
* Make script executable and put into /usr/local/bin. | |||
* Install [https://www.dectris.com/albula.html#main_head_navigation ALBULA API] | |||
* Install numpy (yum -y install numpy) as root if you get the error message | |||
** ImportError: No module named numpy.core.multiarray | |||
Once XDS.INP has been generated, | |||
* Make sure no nonsense has been extracted from master.h5. | |||
* Make sure INCIDENT_BEAM_DIRECTION= corresponds to the experimental geometry. | |||
* Point LIB= to where Neggia is saved (if in current directory, use <code>LIB=./dectris-neggia.so</code> i.e. specify directory!). | |||
** Comment out LIB= if Neggia isn't used (not recommended). | |||
* Set MAXIMUM_NUMBER_OF_JOBS= and MAXIMUM_NUMBER_OF_PROCESSORS= to similar values whose product is slightly smaller than the total number of threads on your system. | |||
= Less efficient way of processing Eiger data, using conversion to CBF= | |||
Since the release of Neggia, a plugin for XDS that parallelizes the reading of images from HDF5 data, conversion to H5ToXds should no longer required in most usage scenarios. The sections below nevertheless describe this possibility, since preliminary experience with some less common network file systems (apparently GPFS, but not NFS) seems to indicate low performance of Neggia. | |||
Conversion program options: Dectris provides [https://www.dectris.com/news.html?page=2 H5ToXds] (Linux only!). That program converts (as the name indicates) the HDF5 files to CBF files; however, it does not write the geometry and other information into the CBF header (therefore, [[generate_XDS.INP]] or MOSFLM does not work with these files). Alternatives are GlobalPhasing's hdf2mini-cbf program (needs autoPROC license) or, from http://www.mrc-lmb.cam.ac.uk/harry/imosflm/ver721/downloads, the eiger2cbf-osx or eiger2cbf-linux program written by T. Nakane. The latter programs do write a useful CBF header. | |||
For faster processing, the [[Eiger#A_script_for_faster_XDS_processing_of_CBF-converted Eiger data|shell script]] below should be copied to /usr/local/bin/H5ToXds and made executable (<code>chmod a+rx /usr/local/bin/H5ToXds*</code>). The binary H5ToXds then should be named e.g. /usr/local/bin/H5ToXds.bin - note the .bin filename extension! The script ''also'' uses RAM to speed up processing; it uses it for fast storage of the temporary CBF file that H5ToXds/eiger2cbf/hdf2mini-cbf writes, and that each parallel thread ("processor") of XDS reads. The amount of additional RAM this requires is modest (about (number of pixels)*(number of threads) bytes). | |||
== Benchmark using H5ToXds == | |||
This was run 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 numbers below refer to the H5ToXds binary as used in the script below. | |||
The timing, using the XDS (BUILT=20151231), is on the first run | |||
INIT: elapsed wall-clock time 12.0 sec | |||
COLSPOT: elapsed wall-clock time 44.9 sec | |||
INTEGRATE: total elapsed wall-clock time 65.1 sec | |||
CORRECT: elapsed wall-clock time 2.9 sec | |||
Total elapsed wall-clock time for XDS 133.6 sec | |||
When I repeat this, I get | |||
Total elapsed wall-clock time for XDS 128.3 sec | |||
Repeat once again: | |||
Total elapsed wall-clock time for XDS 129.3 sec | |||
So a bit of cache-warming helps, but not much. This machine has 64GB RAM. From the output of "top", the highest memory usage occurs during INTEGRATE, when each of the mintegrate_par processes consumes up to 7.4% of the memory. In other words, in this way less than 20GB of total memory are used. "top" shows a CPU consumption around (on average) 4 times 650%. | |||
The number of JOBs and PROCESSORs could be optimized. I tried 6 JOBs and get | |||
Total elapsed wall-clock time for XDS 120.1 sec | |||
so there's still some room for improvement. | |||
With program versions as of 2016-03-10, eiger2cbf-linux is practically as fast as the H5ToXds binary; hdf2mini-cbf is somewhat slower. | |||
When unpacking the .h5 files to .cbf files and processing those, I get on the same machine and with same processing parameters: | |||
Total elapsed wall-clock time for XDS 96.3 sec | |||
which indicates a 24% overhead due to the HDF5-to-CBF conversion. However, one has to add to this the time for the HDF5-to-CBF conversion, which is (with 18 parallel H5ToXds jobs each converting 50 frames) 34.2 sec, so overall the "on-the-fly" route using the script below is faster than the "pre-conversion" route, at least on this machine. | |||
== A script for faster XDS processing of CBF-converted Eiger data == | |||
<pre> | |||
#!/bin/bash | |||
# Kay Diederichs 10/2015 | |||
# 3/2017 include RAMdisk creation for MacOS; only lightly tested! | |||
# 3/2016 adapt for eiger2cbf and hdf2mini-cbf | |||
# for the latter see https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=ccp4bb;58a4ee1.1603 and | |||
# https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=ccp4bb;a048b4e8.1603 | |||
# | |||
# Idea: put temporary files into fast local directory, instead of NFS | |||
# | |||
# Installation: Rename Dectris' H5ToXds to H5ToXds.bin | |||
# This script should be called H5ToXds and reside in $PATH | |||
# Modify this script according to which binary you use - see comments below. | |||
# | |||
# Recommendation: | |||
# - for the fast local directory one should use a RAMdisk (one GB size at most) | |||
# - /dev/shm seems to be already set up for that purpose on most Linux distributions | |||
# - on MacOS you can easily set this up as described at http://stackoverflow.com/questions/2033362/does-os-x-have-an-equivalent-to-dev-shm | |||
# example on MacOS for 1GB RAMdisk (needs to be repeated after booting): | |||
# diskutil eraseVolume HFS+ RAMdisk $(hdiutil attach -nomount ram://$((2 * 1024 * 1000))) | |||
# | |||
# on MacOS the next line should then be: | |||
# tempfile="/Volumes/RAMdisk/H5ToXds${PWD//\//_}.$3" | |||
# and on Linux: | |||
tempfile="/dev/shm/H5ToXds${PWD//\//_}.$3" | |||
# | |||
# choose between H5ToXds.bin, eiger2cbf and hdf2mini-cbf; un/comment accordingly | |||
/usr/local/bin/H5ToXds.bin $1 $2 "$tempfile" || rm "$tempfile" | |||
#/usr/local/bin/eiger2cbf-linux $1 $2 "$tempfile" >& /dev/null || rm "$tempfile" | |||
#/usr/local/bin/eiger2cbf-osx $1 $2 "$tempfile" >& /dev/null || rm "$tempfile" | |||
#/usr/local/bin/hdf2mini-cbf $1 $2 "$tempfile" || rm "$tempfile" | |||
ln -sf "$tempfile" $3 2>/dev/null | |||
</pre> | |||
= See also = | |||
[[Performance]] | [[Performance]] | ||
[https://github.com/keitaroyam/yamtbx/blob/master/doc/eiger-en.md Keitaro Yamashita's Eiger page, with some emphasis on SPring-8] |