How would this affect the performance of applications that spin up thousands of tasks?
How would this affect the performance of applications that spin up thousands of tasks?
The M:N model is notoriously difficult, making your threading system 10x as complicated usually isn't worth the 10% performance increase. Haskell is, again, the exception that proves the rule. In Haskell there is no stack and no need for TLS, so the complexity of M:N threading is much lower. Additionally, on Haskell there is a provision for pinning green threads to OS threads if you need interoperability with foreign code that can't get moved across threads as easily, and the assumption is that you usually don't need to pin threads.
I'd also like to point out that for some applications, using native threads instead of green threads will reduce the number of context switches, it's when threads are CPU bound that green threads give you the biggest performance boost.
You can do that in Rust too (and we do it a lot).
The problem that created the whole non-blocking, async domain was the memory needed for the thread's call stacks. You don't have enough address space to place a bunch of 2MB call stacks for each thread, if you're handling tens of thousands of connections.
c10k is (almost) 15 years old, updating it for today are the OS and MMU going to manage 10 million threads and stacks for that many connections?
Mine are 10MB:
$ ulimit -s
$ 10240
I can only spawn 200 threads in the worst case and keep them active before system starts swapping. Yes memory space is large by anytime those have to run they'd have to be brought up into the working set.EDIT: nevermind, _wmd pointed out that stack memory is still virtual and it only be brought into the physical memory as needed.
Is this not true?
I am stupid. I'll correct the initial comment.
Thanks