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--- asc:workbook_introduction [2023/08/14 19:11] – [Interactive nodes and desktops] asc
+++ asc:workbook_introduction [2023/08/14 19:17] – [Default shell and environment] asc
@@ Line 34: / Line 34: @@
 <code bash>
-/atlasfs/atlas/local
+/data/atlasfs02/c/users/
 </code>
-Please check your name there. In addition, every server has scratch space here:
-<code bash>
-/data1/
-/data2/
-</code>
-atlas2 has more space in /data1, /data2, /data3, /data4.
+===== Setting up some software =====
-Finally, you can use "atlas4" which mounts 20 TB of scratch space. atlas4 can be accessed after login to atlas1,2.
-The computer farm has distributed data storage managed by [[http://atlaswww.hep.anl.gov/asc/arcond/|Arcond]]. This will be described later.
-===== Computer farm =====
+You can setup some software (ROOT, FASTJET, PYTHIA, new Latex) as this:
-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
-The PC farm uses the [[http://atlaswww.hep.anl.gov/asc/arcond/|Arcond]] for job submission which allows to share the resources and
+<code bash>
-simplifies the data discovery. The backend  of this farm is Condor. You can use it as well
+source /users/admin/share/sl7/setup.sh
-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.
+</code>
+This setup uses the native Python2 from SL7
-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:
+You can also setup basic programs using Python3. Create a setup file "setup.sh" as this:
 <code bash>
-/share/sl6/set_asc.sh
+#!/bin/bash
-cp -rf /share/sl6/jcondor .
+echo "Setup ROOT, PyROOT tensorflow"
-cd jcondor
+export ATLAS_LOCAL_ROOT_BASE=/cvmfs/atlas.cern.ch/repo/ATLASLocalRootBase
-java -jar jcondor.jar
+source ${ATLAS_LOCAL_ROOT_BASE}/user/atlasLocalSetup.sh
+lsetup "views LCG_104 x86_64-centos7-gcc11-opt"
 </code>
-===== After initial login =====
+Then you can setup many LCG packages as:
+<code>
-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.
+source setup.sh
+</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.
 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:
@@ Line 91: / Line 76: @@
 <code bash>
     alias ls='ls -F --color=auto'
-    source /share/sl6/set_asc.sh
  </code>