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We're streaming RSTP camera feeds through WASM plugins and host-bridge adapters, no problem. I was surprised how well it worked TBH.

https://code.carverauto.dev/carverauto/serviceradar/src/bran...

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You can disable GC in tinygo, so if you allocate all the necessary buffers beforehand it can have good performance with real-time characteristics. If you _need_ dynamic memory allocation then no, because you need GC it can't provide realtime guarantees.
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Doesn't seem like those should be mutually exclusive, though the habits involved are quite opposing and I can definitely believe they're uncommon.

E.g. GC doesn't need to be precise. You could reserve CPU budget for GC, and only use that much at a time before yielding control. As long as you still free enough to not OOM, you're fine.

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I've written a fair amount of code for EmbeddedGo. Garbage Collector is not an issue if you avoid heap allocations in your main loop. But if you're CPU bound a goroutine might block others from running for quite some time. If your platform supports async preemption, you might be able to patch the goroutine scheduler with realtime capabilities.
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Can you elaborate on this and how it would be different from signaling on interrupts and DMA?

Hardware-level async makes sense to me. I can scope it. I can read the data sheet.

Software async in contrast seems difficult to characterize and reason about so I've been intimidated.

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