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How to handle multiprocessing based on the limit of CPU's


How to handle multiprocessing based on the limit of CPU's

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How to handle multiprocessing based on the limit of CPU's
Tag : python , By : user187383
Date : November 26 2020, 03:01 PM

it helps some times You could just pass in cpu_count() for the max_workers value. If len(data) is less than that it won't create more workers than it needs.
def pool_executor(function_name, data):
    with ProcessPoolExecutor(max_workers=cpu_count()) as executor:
        executor.map(function_name, data)

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Python - Multiprocessing - More jobs that cpus.


Tag : python , By : D B
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further I wanna share my idea here: create number of processes equals to cpu_count(), use a Queue stores all your directories,and pass the Queue into your transfer_directory method, takes a dir_name out from the Queue once a process finishes its work. A draft looks like this:
NUM_OF_PROCESSES = multiprocessing.cpu_count()
TIME_OUT_IN_SECONDS = 60

for dir_name in directories:
    my_queue.put(dir_name)

# creates processes that equals to number of CPU 
processes = [multiprocessing.Process(target=transfer_directory, args=(my_queue,)) for x in range(NUM_OF_PROCESSES)]

# starts processes
for p in processes:
    p.start()

# blocks the calling thread
for p in processes:
    p.join()



def transfer_directory(my_queue):
    """processes element of directory queue if queue is not empty"""
    while my_queue is not empty:
        dir_name = my_queue.get(timeout=TIME_OUT_IN_SECONDS)
        src_dir = os.path.join(top_level,dir_name)
        dst_dir = src_dir.replace(args.src_dir,args.target_dir)

Python Multiprocessing Will Not Continue Past Number of CPUs/Cores


Tag : python , By : HokieGeek
Date : March 29 2020, 07:55 AM
around this issue Your scrape_site method scrapes exactly one site - it doesn't loop trying to pull more and more events from the queue. And you dispatch exactly 4 workers here:
for w in xrange(workers):
        p = multiprocessing.Process(target=scrape_site, args=(q, ))
        p.start()
        processes.append(p)

Python Multiprocessing - coding for a dual, quad and six core cpus


Tag : python , By : Tornike
Date : March 29 2020, 07:55 AM
Hope that helps I found this Q/A on Stackoverflow which supports what I had originally thought - the code will run on any of the 3 cpus so will not need to be tailored on a per cpu basis...
python multiprocessing and number of cores

Multiprocessing in Python with large numbers of processes but limit numbers of cpus


Tag : python , By : Janne Laine
Date : March 29 2020, 07:55 AM

Python ThreadPool from multiprocessing.pool cannot ultilize all CPUs


Tag : python , By : Asbie
Date : March 29 2020, 07:55 AM
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