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--- asc:workbook_introduction [2023/08/14 19:12] – [Data storage] asc
+++ asc:workbook_introduction [2023/08/14 19:16] – [Computer farm] asc
@@ Line 38: / Line 38: @@
-===== 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.
+<code>
-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]].
+source /users/admin/share/sl7/setup.sh
+</code>
+This setup uses the native Python2 from SL7
-You can run [[http://atlaswww.hep.anl.gov/asc/jcondor/ | JCondor Monitoring]] GUI to monitor condor cluster:
-<code bash>
-/share/sl6/set_asc.sh
+You can also setup basic programs using Python3. Create a setup file "setup.sh" as this:
-cp -rf /share/sl6/jcondor .
+<code>
-cd jcondor
+#!/bin/bash
-java -jar jcondor.jar
+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>
+Then you can setup many LCG packages as:
+<code>
+source setup.sh
+</code>
 ===== After initial login =====