Thanks for the responses.
I will create another thread to supply a more realistic example.
On Tue, Sep 29, 2015 at 10:12 AM, Oscar Benjamin wrote:
> On Tue, 29 Sep 2015 at 02:22 Rita wrote:
>
>> I am using the multiprocessing with apply_async to do some work. Each
>> task takes a few seconds
On Tue, 29 Sep 2015 at 02:22 Rita wrote:
> I am using the multiprocessing with apply_async to do some work. Each task
> takes a few seconds but I have several thousand tasks. I was wondering if
> there is a more efficient method and especially when I plan to operate on a
> large memory arrays (n
Rita wrote:
> I am using the multiprocessing with apply_async to do some work. Each task
> takes a few seconds but I have several thousand tasks. I was wondering if
> there is a more efficient method and especially when I plan to operate on
> a
> large memory arrays (numpy)
>
> Here is what I ha
I am using the multiprocessing with apply_async to do some work. Each task
takes a few seconds but I have several thousand tasks. I was wondering if
there is a more efficient method and especially when I plan to operate on a
large memory arrays (numpy)
Here is what I have now
import multiproces
