The point of asynchronous programming is to know exactly where concurrency happens in your code. This both eliminates concurrency bugs and gives you predictability for high performance.
No thanks.
Edit: I just remembered that in cooperative multitasking, it's probably possible for the OS to safely save the program stack pointer, meaning the program doesn't have to unwind its stack when yielding, unlike async programs. Never mind, that makes the two models quite different. However, in practice, programs written for cooperative multitasking really should be structured just like async programs in order to be responsive (so users can, for example, interact with the GUI while downloading files in the background.)
Which one? It’s “cooperative” ie not unpredictable. The points where one can block are predictable and documented explicitly, otherwise how would the programmer know they won’t block forever. The same should hopefully be the case for async/awaitable apis.
In fact where async/await will actually give up control are harder to tease out.
The differences are really not as big as they would seem.
I don’t see how this increases overhead to deal with either.
Basically, coop multitasking and async/await operate on the exact same execution framework, the latter just gives convenient syntactic support.
Perhaps you should see how typescript turns async await into js.
[1] If implemented with care, not doing syscalls in the middle of async primitives and using fast nearly-O(1) algorithms for timers, etc. it can be incredibly fast. And of course Rust also gives enough room to mess up all that nice determinism.
So the event handler gets called immediately? No that’s not right. What would be the point of that? The event handler or continuation obviously needs to be scheduled on something that is awaitable. Meanwhile, other concurrent tasks may be able to run.
> This is the essence of asynchronous programming. There are no tasks, no yielding, practically no overhead and everything is deterministic
This is just totally wrong. Especially re tasks: https://docs.python.org/3/library/asyncio-task.html#creating...
There is nothing inherent about async and await that prevents “yielding”... the issue of yielding and semaphores is a concurrency issue and since async and await are used in concurrent programming environments, the same issues apply.
While it is true async and await don’t require any kind of cooperative concurrent framework to work, that is kind of their whole point for existing. A single task async/await system isn’t terribly interesting.
It's kind of like this: async/await is syntactic sugar for higher-order abstractions around event loops. At the level of event loops and event hadnlers there is no awaiting anymore. And the whole point of event loops is to not run event handlers concurrently, that's why they are even called loops, they invoke handlers one by one in a loop deterministically without concurrent tasks and once there is nothing more to run they just block and wait for new events. Obviously you can run multiple event loops in parallel, but you shouldn't share memory between them, as it defeats the purpose, is always slower and is never really necessary, you can just use asynchronous message passing to communicate between event loops when you have to.
> A single task async/await system isn’t terribly interesting.
And yet this is the whole point of async/await, promises, futures and event loops. All of them exist to avoid mistakes and performance problems of shared memory concurrency. I mean, really, if you have semaphores or mutexes in event handlers, futures, promises or async functions - you are in a broken concurrency model zone.
As far as I understand, cooperative is far more efficient than preemptive, but unsuitable for poorly written or untrusted code.
I wish to learn and would really appreciate your assistance if you are willing to help.
Well..
await new Promise((res, rej) => { setImmediate(res); })