Physical Cores vs Virtual Cores in Parallelism
Date : March 29 2020, 07:55 AM
like below fixes the issue Is there still much advantage to parallelizing if the application lives on a dual core VM hosted on a single core physical machine?
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Will multiprocessing.Process() or multiprocessing.Pool() distribute more evenly across cores?
Date : March 29 2020, 07:55 AM
may help you . The apply_async method of a pool will only run the worker function once, on an arbitrarily selected process from the pool, so your two code examples won't do exactly the same thing. To really be equivalent, you'd need to call apply_async five times. I think which of the approaches is more appropriate to a give task depends a bit on what you are doing. multiprocessing.Pool allows you to do multiple jobs per process, which may make it easier to parallelize your program. For instance, if you have a million items that need individual processing, you can create a pool with a reasonable number of processes (perhaps as many as you have CPU cores) and then pass the list of the million items to pool.map. The pool will distribute them to the various worker processes (and collecting up the return values to be returned to the parent process). Launching a million separate processes would be much less practical (it would probably break your OS).
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PHP - MultiProcessing(Using different cores)
Date : March 29 2020, 07:55 AM
this one helps. The simplest way is to run your script multiple times and not worry about multiprocessing: 1 * * * * php /path/to/script
2 * * * * php /path/to/script
3 * * * * php /path/to/script
4 * * * * php /path/to/script
15 * * * * php /path/to/script
16 * * * * php /path/to/script
17 * * * * php /path/to/script
18 * * * * php /path/to/script
foreach(glob('dir/*.avi') as $file) {
$lockfile = fopen($file . '.lock', 'a+');
if(flock($lockfile)) {
// do the processing
break;
}
}
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Parallel.Foreach considers logical cores or physical cores where hyperthreading supported?
Date : March 29 2020, 07:55 AM
this one helps. If hyperthreading is supported by system then is it advisable to set No of LOGICAL cores instead of PHYSICAL cores into maxdegreeofparallelism
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Python code with multiprocessing is slower with 32 cores than 16 cores on AWS EC2
Tag : python , By : Justin Bowers
Date : March 29 2020, 07:55 AM
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