I have a program which is occasionally malfunctioning a开发者_StackOverflownd I\'m wondering whether the problems might be related to different threads running on different cores handling reads and wr
For开发者_如何学编程 some reason I can\'t access the Queue.Empty exception - what am I doing wrong here?
I\'m looking to run a long-running python analysis process on a few Amazon EC2 instances. The code already runs using the python multiprocessing module and can take advantage of all cores on a single
I\'m having a funny issue with map_async that i can\'t figure out. I\'m using python\'s multiprocessing library with process pools. I\'m trying to pass a list 开发者_运维问答of strings to compare aga
Similar to my question here I\'m trying to set up multiple amazon EC2 instances to do some multiprocessing. I was thinking of using Celery to manage the workers. Has anyone gotten celery to work on EC
Contents of check.py: from mu开发者_运维技巧ltiprocessing import Process import time import sys def slp():
I have more than 10 t开发者_运维问答asks to execute, and the system restrict that there at most 4 tasks can run at the same time.
I have a simulation that consists of a list of objects.I\'d like to call a method on all of those objects in parallel, since none of them depends on the other, using a thread pool.You can\'t pickle a
Overview: I am debugging a C# GUI that takes in an XML file and starts a new Process to perform statistical calculations on the XML file. The process for some reason is exiting in the middle of execut
Since Python has some issues with GIL, Java is better for developing multiprocessing applications开发者_运维知识库. Could you please justify the exact reasoning of java\'s effective processing than py
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