Path: ...!weretis.net!feeder8.news.weretis.net!eternal-september.org!feeder3.eternal-september.org!news.eternal-september.org!.POSTED!not-for-mail
From: "Chris M. Thomasson" <chris.m.thomasson.1@gmail.com>
Newsgroups: comp.lang.c++,comp.lang.c
Subject: Re: Threads across programming languages
Date: Mon, 29 Apr 2024 13:22:52 -0700
Organization: A noiseless patient Spider
Lines: 37
Message-ID: <v0ovis$1uq6q$3@dont-email.me>
References: <GIL-20240429161553@ram.dialup.fu-berlin.de>
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8; format=flowed
Content-Transfer-Encoding: 7bit
Injection-Date: Mon, 29 Apr 2024 22:22:53 +0200 (CEST)
Injection-Info: dont-email.me; posting-host="68a1f8b2290ba520f984bb7e7fb4eebe";
	logging-data="2058458"; mail-complaints-to="abuse@eternal-september.org";	posting-account="U2FsdGVkX18Dtk+hhrF6s6fofpcDNe2Qi6VxTX8jPvc="
User-Agent: Mozilla Thunderbird
Cancel-Lock: sha1:/dmXvYQ7g3ir/++zDueA7tkdpCI=
Content-Language: en-US
In-Reply-To: <GIL-20240429161553@ram.dialup.fu-berlin.de>
Bytes: 2847

On 4/29/2024 8:19 AM, Stefan Ram wrote:
> paavo512 <paavo@osa.pri.ee> wrote or quoted:
> |Anyway, multithreading performance is a non-issue for Python so far as
> |the Python interpreter runs in a single-threaded regime anyway, under a
> |global GIL lock. They are planning to get rid of GIL, but this work is
> |still in development AFAIK. I'm sure it will take years to stabilize the
> |whole Python zoo without GIL.
> 
>    The GIL only prevents multiple Python statements from being
>    interpreted simultaneously, but if you're waiting on inputs (like
>    sockets), it's not active, so that could be distributed across
>    multiple cores.
> 
>    With asyncio, however, you can easily handle the application
>    for threads to "wait in parallel" for thousands of sockets in a
>    single thread, and there are fewer opportunities for errors than
>    with multithreading.
> 
>    Additionally, there are libraries like numpy that use true
>    multithreading internally to distribute computational tasks
>    across multiple cores. By using such libraries, you can take
>    advantage of that. (Not to mention the AI libraries that have their
>    work done in highly parallel fashion by graphics cards.)
> 
>    If you want real threads, you could probably work with Cython
>    sometimes.
> 
>    Other languages like JavaScript seem to have an advantage there
>    because they don't know a GIL, but with JavaScript, for example,
>    it's because it always runs in a single thread overall. And in
>    the languages where there are threads without a GIL, you quickly
>    realize that programming correct non-trivial programs with
>    parallel processing is error-prone.
[...]

Have you ever used webworkers?