Fellow Unix philosophers,
I programmed some tools in Perl that have a part which can run in parallel. I outfitted them with a -j
(jobs) option like make
and prove
have because that's sensible. However, soon I became unhappy with that for two reasons.
--jobs=2
because I have two CPU cores, but I should not need to tell the computer information that it can figure out by itself.I hacked some more to add a load measuring, spawning additional jobs while there's still »capacity« until a load threshold is reached, this is when the number of jobs stays more or less constant, but when during the course of a run other processes with higher priority are in demand of more CPU, over time less new jobs are spawned and accordingly the number of jobs reduces.
Since this responsibility was repeated code in the tools, I factored out the scheduling aspect into a stand-alone tool following the spirit of nice
et al.. The parallel tools are quite dumb now, they only have signal handlers through which they are told to increase or decrease the jobs pool, whereas the intelligence of load measuring and figuring out when to control the pool resides in the scheduler.
Taste of the tentative interface (I also want to provide sensible defaults so options can be omitted):
run-parallel-and-schedule-job-pool \
--cpu-load-threshold=90% \
--disk-load-threshold='300 KiB/s' \
--network-load-threshold='1.2 MiB/s' \
--increase-pool='/bin/kill -USR1 %PID' \
--decrease-pool='/bin/kill -USR2 %PID' \
-- \
parallel-something-master --MOAR-OPTIONS
Before I put effort into the last 90%, do tell me, am I duplicating someone else's work? The concept is quite obvious, so it seems it should have been done already, but I couldn't find this as a single responsibility stand-alone tool, only as deeply integrated part of larger many-purpose sysadmin suites.
Bonus question: I already know runN
and parallel
. They do parallel execution, but do not have the dynamic scheduling (niceload
goes into that territory, but is quite primitive). If against my expectations the stand-alone tool does not exists yet, am I better off extending runN
myself or filing a wish against parallel
?
some of our users are quite happy with condor. It is a system for dynamically distributing jobs to other workstations and servers according to their free computing resources.
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