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asc:workbook_introduction [2023/08/14 19:12] – [Data storage] ascasc:workbook_introduction [2023/08/14 19:17] – [Default shell and environment] asc
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-===== Computer farm =====+===== Setting up some software =====
  
  
-The computer farm consists of 16 servers atlas50-65. Each server has 2 CPU with 8 cores and 5 TB of local disk space.   The farm is based on SL6+You can setup some software (ROOT, FASTJET, PYTHIA, new Latex) as this:
  
-The PC farm uses the [[http://atlaswww.hep.anl.gov/asc/arcond/|Arcond]] for job submission which allows to share the resources and 
-simplifies the data discovery. The backend  of this farm is Condor. You can use it as well 
-as long as you restrict your jobs to atlas50-65 and use 4 cores per server. If you have long jobs, please use the old farm. Login to the computer farm is not allowed. 
  
-  
-You can see the current CPU usage using this web page [[http://146.139.33.7/ganglia/|ANL-ATLAS computer farm monitor]]. (can be accessed from inside ANL, or when using a proxy after atlas1 ssh). Alternatively, look at the Condor jobs monitor here [[http://atlaswww.hep.anl.gov/asc/admin/cpu-monitor/ | ANL-ATLAS condor monitor]]. 
- 
-You can run [[http://atlaswww.hep.anl.gov/asc/jcondor/ | JCondor Monitoring]] GUI to monitor condor cluster: 
 <code bash> <code bash>
-/share/sl6/set_asc.sh +source /users/admin/share/sl7/setup.sh
-cp -rf /share/sl6/jcondor . +
-cd jcondor +
-java -jar jcondor.jar+
 </code> </code>
 +This setup uses the native Python2 from SL7
  
-===== After initial login ===== 
  
  
-About the scratch disk space: It is available on atlas1,2,16,17,18 (5TB for each server) and on every desktop. Every user has a directory under /data1 and /data2. The scratch disks do not have backup. You should use these disks if you do not want to gain speed for running/compiling your programs.+You can also setup basic programs using Python3. Create a setup file "setup.sh" as this: 
 +<code bash> 
 +#!/bin/bash 
 +echo "Setup ROOT, PyROOT tensorflow" 
 +export ATLAS_LOCAL_ROOT_BASE=/cvmfs/atlas.cern.ch/repo/ATLASLocalRootBase 
 +source ${ATLAS_LOCAL_ROOT_BASE}/user/atlasLocalSetup.sh 
 +lsetup "views LCG_104 x86_64-centos7-gcc11-opt" 
 +</code>
  
-In some cases, you will need to access data from all computers. If data size is not large (not larger than 10 GB), one can put data on NFS: /data/nfs/users/ If you are interested in a larger sample, contact the administrator.+Then you can setup many LCG packages as: 
 + 
 +<code> 
 +source setup.sh 
 +</code>
  
 Please read the section [[asc:workbook_data|Working with data at ANL Tier3]] for details on how to store and process your data. Please read the section [[asc:workbook_data|Working with data at ANL Tier3]] for details on how to store and process your data.
  
  
-===== Default shell and  environment ===== 
  
  
-The default shell for the ANL ASC is bash. 
-To setup the necessary environment (ROOT, SVN etc), run this script: 
- 
-<code bash source.sh> 
-source /share/sl6/set_asc.sh 
-</code> 
  
 Check this by running "root" or "condor_status". You can also add the environmental variables automatically: Create '.bash_profile' file if it is not done yet, and put these lines: Check this by running "root" or "condor_status". You can also add the environmental variables automatically: Create '.bash_profile' file if it is not done yet, and put these lines:
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 <code bash>    <code bash>   
     alias ls='ls -F --color=auto'     alias ls='ls -F --color=auto'
-    source /share/sl6/set_asc.sh 
  </code>  </code>
  
asc/workbook_introduction.txt · Last modified: 2023/08/14 19:20 by asc