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- #Mac parallels windows parallels service will not start update
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Trackthread $WORKERID $THREADID update $s Trackthread $WORKERID $THREADID setactiveįor s in $(seq 1 $RND) #simulate random lifespan #accessing common terminal requires critical blocking section #echo "new worker WORKERID:$WORKERID THREADID:$THREADID" > $DBG
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#echo "getfreeworkerid returned $i" > $DBG
#Mac parallels windows parallels service will not start free
Plot $COL $ROW "Worker$WORKERID: FREE " fail Plot $COL $ROW "Worker$WORKERID: ACTIVE-TID:$THREADID AGE:$AGE" warn Plot $COL $ROW "Worker$WORKERID: ACTIVE-TID:$THREADID INIT " good #echo created file $ME.$F1$WORKERID > $DBG Touch /tmp/$ME.$F1$WORKERID #redundant - see main loop #TPS=$(echo "$SCALE $AVGTHREAD/$THREADLIMIT"|bc) # maintains pretty good TPS=$(echo "$SCALE ($AVGTHREAD/$THREADLIMIT)*$SPEEDFACTOR"|bc) # to utilize threadlimit - average time it takes to complete one thread / max number of threads #calculate timing to achieve spawning each workers fast enough #if threads completed is zero (less than 100), default to maxdelay/2 maxthreadsĮcho BAD IPC READ = > $DBGĪVGTHREAD=$(echo "$SCALE $MAXTHREADDUR/2"|bc)ĪVGTHREAD=$(echo "$SCALE $ELAPSED/$COMPLETE*$THREADLIMIT"|bc)Įcho AVGTHREAD Duration is $AVGTHREAD > $DBG #average thread duration (total elapsed time / number of threads completed) #vaguely assumes thread execution average will be consistent
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Threadspeed() #dynamically adjust spawn rate based on worker utilization UPPER=$ #95% worker utilization threshold LOWER=$ #90% worker utilization threshold MAXTHREADDUR=6 #maximum thread life span - demo mode
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THREADLIMIT=50 #maximum concurrent threads SPEEDFACTOR=1 #dynamically compensates for execution time IPC="/tmp/$ME.ipc" #interprocess communication file (global thread accounting stats) Increase the size of your terminal accordingly. Clearly this is overkill but I enjoyed writing it so I kept on. This demonstrates a way to manage up to 200 instances of forked processes all accessing a single resource. Forking from BASH of course is the basic answer here but I feel as if people know that but are really looking to manage what is spawned rather than just fork it and forget it. Functionally however it works the same, though a bit more difficult since GLOBAL variables are not available in each worker clone hence the use of the inter-process communication file and the rudimentary flock semaphore to manage critical sections. If BASH supported the latter, each "sequence of execution" would operate just the same and could be termed to be traditional threads whilst gaining a more efficient memory footprint. Sure, technically these are processes, and this program should really be called a process spawning manager, but this is only due to the way that BASH works when it forks using the ampersand, it uses the fork() or perhaps clone() system call which clones into a separate memory space, rather than something like pthread_create() which would share memory. GNU parallel, as mentioned in Ole's answer (does not come standard with most platforms), conveniently serializes (groups) the output on a per-process basis and offers many more advanced features.Output from the processes run in parallel arrives as it is being generated, so it will be unpredictably interleaved. # the PID of the most recently started background process.īSD/macOS xargs requires you to specify the count of commands to run in parallel explicitly, whereas GNU xargs allows you to specify -P 0 to run as many as possible in parallel. # Wait for `xargs` to finish, via special variable $!, which contains # Script execution continues here while `xargs` is running with additional commands starting only when a previously launched process terminates.runs at most 3 commands in parallel at a time,.While -P is a nonstandard option, both the GNU (Linux) and macOS/BSD implementations support it. Xargs -P allows you to run commands in parallel.