... | ... | @@ -79,13 +79,15 @@ You can run the *runOPAL.py* script without arguments, if the two files (*foo.tm |
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created and all files for the simulation are either copied or linked to that directory. The simulation is then started from this directory
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where also all results are stored. The general syntax of runOPAL.py is
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`runOPAL.py [--help] [--quiet] [--info=num] [--test] [--keep] [--queue=qname] [--hypert=num] [--nobatch] [ATTR=SCANVALUE] {[ATTR=VALUE]}`
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`runOPAL.py [--help] [--filename=str] [--test] [--quiet] [--info=num] [--test] [--keep] [--queue=qname] [--hypert=num] [--nobatch] [ATTR=SCANVALUE] {[ATTR=VALUE]}`
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* *--help* shows all available parameters with a short description.
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* *--test* exercises everything except for the submission of the job.
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* *--filename | -f=str* sets base falie name for both *.data and *.tmpl files.
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* *--test | -t* exercises everything except for the submission of the job.
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* *--keep* if same simulation has been run before, keep old data and abort.
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* *--quiet* suppress debug printout.
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* *--info=num* steers the std-output of OPAL. The range is 0 < num < 6 (default), from minimal to maximum output.
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* *--info | -i=num* steers the std-output of OPAL. The range is 0 < num < 6 (default), from minimal to maximum output.
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* *--nobatch* run opal locally not using the batch system and waits until the job is done.
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* *--noopt* ignore optimization template (if any) and perform regular simulation.
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* *--queue=qname* defines in which queue the job goes. Overwrites QUEUE
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* *--hypert=num* defines the number of Hyper-Threads used. Default 0.
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* *ATTR* refers to a name in the data file
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