Comment by lasiotus 8 days ago
I'm not the OP, but I have a similar experience with Motor OS: wasmi compiles and works "out of the box", while wasmtime has a bunch of dependencies (e.g. target-lexicon) that won't compile on custom targets even if all features are turned off in wasmtime.
> Not sure how to help with this [...]
I guess not much can be done at the moment: dependencies are often the primary obstacle in porting crates to new targets, and just comparing the list of dependencies of wasmtime vs wasmi gives a pretty good indication of which crate is a bit more careful in this regard:
https://crates.io/crates/wasmtime/33.0.0/dependencies https://crates.io/crates/wasmi/0.47.0/dependencies
Wasmtime has many capabilities that wasmi does not, and therefore has more optional dependencies, but the required set of dependencies has been portable to every platform I've targeted so far. If anything does present a concrete issue we are eager to address it. For example, you could file an issue on target-lexicon describing how to reproduce your issue.
> If anything does present a concrete issue we are eager to address it.
That's great to hear! I think it is a bit too early to spend extra effort on porting Wasmtime to Motor OS at the moment, as there are a couple of more pressing issues to sort out (e.g. FS performance is not yet where it should be), but in a couple of months I may reach out!
There’s now an interpreter in wasmtime called Pulley. It’s an optimizing interpreter based on Cranelift, which generates interpreter opcodes which are more efficient to traverse than directly interpreting the Wasm binary.
I have run wasmtime on the esp32 microcontrollers with plenty of ram to spare, but I don’t have a measurement handy.
That is amazing news! Thank you.
https://github.com/bytecodealliance/wasmtime/blob/main/pulle...
But if this benchmark is right, then wasmtime is 5x faster than wasmi for it:
Wasmtime, being an optimizing JIT, usually is ~10 times faster than Wasmi during execution.
However, execution is just one metric that might be of importance.
For example, Wasmi's lazy startup time is much better (~100-1000x) since it does not have to produce machine code. This can result in cases where Wasmi is done executing while Wasmtime is still generating machine code.
Old post with some measurements: https://wasmi-labs.github.io/blog/posts/wasmi-v0.32/
Always benchmark and choose the best tool for your usage pattern.
Not sure how to help with this much information but I've built and run wasmtime on some pretty squalid architectures (xtensa and riscv32 microcontrollers among others) but the right collection of features might not be obvious. We can help you find the right configuration on the Bytecode Alliance zulip or the wasmtime issue tracker if you need it.