On 5/25/2020 5:56 AM, [email protected] wrote:
>>> Edwin Zimmerman wrote:
> Only if your workload is CPU bound. Python optimizes IO bound workload
> performance by
> releasing the GIL while doing IO. Green threads generally do not offer this
> option.
>
> Real threads is not needed in Python:
> 1) Real threads do not work parallel
> 2) Real threads only consume resources of OS
As I said above, threads in Python provide limited parallelization when do IO.
For example, if I have a thread that reads a 1GB file into memory, that thread
releases the GIL while reading the file, allowing other threads to run in
parallel.
> 3) Real threads have also as trade off context switching between threads
> (small but ...)
>
> I think considering this trade offs we should switch Real Thread -> Green
> Thread internally or provide alternative functionality ...
> I think asyncio already provide functionality of GreenThread ...
> Okay maybe we should leave Real Threads as it is ... I need to think about it
> ...
>
>
> But also in my email I have mentioned about `interpreters.run_string`
>
> @Edwin Zimmerman Do you know if it is blocking call ? And if yes than I do
> not understand how with such API we will have TRUE Parallel execution,
> because in this case only one Thread at the same time could be executed, but
> those threads could be executed only one at the time !!
> Also there are drawback that we need additional thread for run
> sub-interpretter !!
> Better would be the something like this in addition
> `interpreters.run_string_async`, `interpreters.run_async` in addition to
> `interpreters.run_string`, `interpreters.run` to remove trad offs
Sub-interpreters are a work in progress. The API is not anywhere near being
finalized. True parallel execution will occur only if the GIL is changed to a
per interpreter lock, and that requires some rather large changes to Python
that haven't happened yet.
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