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   ⠴Ninjatrappeur⠦ (ninjatrappeur@social.alternativebit.fr)'s status on Wednesday, 01-Nov-2023 10:25:20 JST ⠴Ninjatrappeur⠦
   Pretty cool talk segment from the GraalVM lead dev where he makes a "ahead of time compilation > just in time compilation" case.
   
   He compares several metrics to come up to this conclusion, such as peak throughput, throughput/memory ratio and overall memory usage. He later explains why JIT supposed gains (constant tuning) do not always pay off in practice.
   
   That's pretty much in opposition to what I heard for the last 10 years. His case his built on a single, likely not representative of all loads, example. But the guy has been working on a JIT java VM for the last 15 years, I guess he knows what he's saying to some extent.
   
   I'm by no means an expert in JITs, I can't determine whether this case makes sense or not yet.
   
   More details in the video recording of the talk: https://youtu.be/83le8YeejVU?si=ZdwvpJZXvYIyeBGC&t=1464
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     ⠴Ninjatrappeur⠦ (ninjatrappeur@social.alternativebit.fr)'s status on Wednesday, 01-Nov-2023 10:25:26 JST ⠴Ninjatrappeur⠦

     in reply to

     • Beady Belle Fanchannel
     @Profpatsch This is precisely the assumption I've been hearing for the last 10 years that's "debunked" in the talk.
     clacke likes this.
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     Beady Belle Fanchannel (profpatsch@mastodon.xyz)'s status on Wednesday, 01-Nov-2023 10:25:37 JST Beady Belle Fanchannel

     in reply to

     @Ninjatrappeur JIT on a good VM can give you superior management in production though, adjusting things and monitoring without a redeploy.

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     clacke (clacke@libranet.de)'s status on Wednesday, 01-Nov-2023 10:25:39 JST clacke

     in reply to

     • Beady Belle Fanchannel

     @Ninjatrappeur I think "I can do it live" is a slightly different nuance from "it can do it live", but I admit I didn't watch yet, maybe the talk addresses both?

     @Profpatsch