1. It's obvious that you are a big fan of Cranelift. I'd be interested to hear more about your experience in practical terms. For example could you share any insight about use cases where it is best suited, and where it might be better to look elsewhere? Did you hit any pain points? What was its killer feature for NoiseLang?
2. You wrote: "My favorite trick is in the RNG. Generating random numbers is a serial dependency chain, so instead of fighting that, the kernel runs four independent streams at once and lets the out-of-order core overlap them. This trick ended up beating a hand-written SIMD kernel!" What does this mean exactly? you just ran a scalar kernel 4-wide using SIMD instructions? or you interleaved 4 scalar copies of the same algorithm? did you generate the code or just duplicate the streams by hand?
1. It's obvious that you are a big fan of Cranelift. I'd be interested to hear more about your experience in practical terms. For example could you share any insight about use cases where it is best suited, and where it might be better to look elsewhere? Did you hit any pain points? What was its killer feature for NoiseLang?
2. You wrote: "My favorite trick is in the RNG. Generating random numbers is a serial dependency chain, so instead of fighting that, the kernel runs four independent streams at once and lets the out-of-order core overlap them. This trick ended up beating a hand-written SIMD kernel!" What does this mean exactly? you just ran a scalar kernel 4-wide using SIMD instructions? or you interleaved 4 scalar copies of the same algorithm? did you generate the code or just duplicate the streams by hand?