indeed. the task pipeline looks great. I will start a new thread to
ask about details on it.


On Sat, Aug 29, 2015 at 5:42 AM, Pieter Hintjens <[email protected]> wrote:
> Even simpler, check out the task pipeline example in the Guide. You
> can run as many task workers on the idle boxes you like, each
> connecting to a fixed IP address/port on your main machine. It's not
> elegant yet it'll work in a few minutes and all exists in Python.
>
> On Thu, Aug 27, 2015 at 2:42 PM, Joss Gray <[email protected]> wrote:
>> You could use zyre ( https://github.com/zeromq/zyre )  to create a network
>> of worker nodes and then distribute tasks and collate results with a central
>> server.
>>
>> On Thu, Aug 27, 2015 at 12:58 PM, Keith Brown <[email protected]> wrote:
>>>
>>> at the moment I am using Python multiprocessing to process requests
>>> but it won't scale well for over 30+ processes since I don't have that
>>> many cores. However, I have many desktops in our lab which are idle. I
>>> was wondering if its possible to use python multiprocessing module
>>> with zero mq to distribute my tasks and get results quickly.
>>>
>>> BTW, each process takes about 1 second to run but there are thousands
>>> I need to run.
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>>
>>
>>
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