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by im_down_w_otp
3821 days ago
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You could do a lot of fast number crunching if you wanted to. It just gets tricky to implement without screwing with the primary scheduler pool. I've written many NIFs for Erlang that call out to high-performance C routines when "number crunching" is most important. I've also done it to side-step memory allocator churn for implementing binary protocols that support zero-copy semantics like Capnp by using the NIF as a kind of escape hatch where I can fiddle bits in a buffer directly. In fact, somewhat lazily since it's low priority, I'm trying to create a decent Rust wrapper for the NIF interface so that I can attempt to get more compile time safety out of the dangerous stuff I do outside BEAM's safety net. Other than being dangerous, since a segfault will bring down the whole VM, the other big issue is these calls block the scheduler (basically breaking the VM's preemptive abilities and creating the same limitations Akka on the JVM has when you block all the threads in an ActorSystem). However, now that R18 has dirty-scheduler support it's much easier to avoid this problem by quarantining that stuff on threads that don't muck with executing normal bytecode. |
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That's my point; in a niche language, you only try to use it to solve the problems it claims or you have reason to believe it to be good at, thus, its limitations (both declared and any you run into outside of the claims it makes) are dismissed with "you're using the wrong tool", a fact the developer usually realizes themselves, and does not treat as a deficiency of the language.
If you had reason to believe Erlang was good at number crunching, and wrote code to crunch numbers in it, and then found it wasn't, you'd complain about how slow it is. Because you never had that expectation, because Erlang flat out says it's not good at that, you knew to instead write NIFs. The thought "this language should be faster" never entered your mind, because that kind of performance is not the goal of the language. Instead you used it where its reliability and scalability come into play, things it is good at, and offloaded the number crunching to a language better suited for it.