RustTokioBenchmark
RustTokioBenchmark | todo-backend | |
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1 | 2 | |
0 | 5 | |
- | - | |
2.7 | 0.0 | |
about 2 months ago | almost 3 years ago | |
Rust | Rust | |
MIT License | - |
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RustTokioBenchmark
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3 years of fulltime Rust game development, and why we're leaving Rust behind
> If you ever pull up a debugger and step through an async Rust/tokio codebase, you'll get a good sense for what the overhead here we're talking about is.
So I didn't quite do that, but the overhead was interesting to me anyway, and as I was unable to find existing benchmarks (surely they exist?), I instructed computer to create one for me: https://github.com/eras/RustTokioBenchmark
On this wee laptop the numbers are 532 vs 6381 cpu cycles when sending a message (one way) from one async thread to another (tokio) or one kernel thread to another (std::mpsc), when limited to one CPU. (It's limited to one CPU as rdtscp numbers are not comparable between different CPUs; I suppose pinning both threads to their own CPUs and actually measuring end-to-end delay would solve that, but this is what I have now.)
So this was eye-opening to me, as I expected tokio to be even faster! But still, it's 10x as fast as the thread-based method.. Straight up callback would still be a lot faster, of course, but it will affect the way you structure your code.
Improvements to methodology accepted via pull requests :).