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Multiprocessing: use only the physical cores?


Multiprocessing: use only the physical cores?

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Multiprocessing: use only the physical cores?
Tag : python , By : Jouni
Date : November 28 2020, 11:01 PM

fixed the issue. Will look into that further I found a solution that doesn't involve changing the source code of a python module. It uses the approach suggested here. One can check that only the physical cores are active after running that script by doing:
lscpu
CPU(s):                8
On-line CPU(s) list:   0,2,4,6
Off-line CPU(s) list:  1,3,5,7
Thread(s) per core:    1
import multiprocessing
multiprocessing.cpu_count()

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Physical Cores vs Virtual Cores in Parallelism


Tag : multithreading , By : B3CFT
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?

Will multiprocessing.Process() or multiprocessing.Pool() distribute more evenly across cores?


Tag : python , By : kiirpi
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).

PHP - MultiProcessing(Using different cores)


Tag : php , By : jch
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;
    }
}

Parallel.Foreach considers logical cores or physical cores where hyperthreading supported?


Tag : chash , By : perl
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

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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