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mathias's profile
Mathias Bynens
Mathias Bynens
Mathias Bynens
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@mathias

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Mathias BynensVerified account

@mathias

I work on @ChromeDevTools & @v8js at Google and on ECMAScript through TC39. ♥ JavaScript, HTML, CSS, HTTP, performance, security, Bash, Unicode, i18n, macOS.

Munich, Germany
mths.be
Joined January 2007

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    1. Jamie Birch‏ @LinguaBrowse 9 Nov 2019
      • Report Tweet
      • Report NetzDG Violation

      Jamie Birch Retweeted Jay Phelps

      Reading these #JavaScript engine fundamentals has been incredibly insightful. I can see from this how a #TypeScript runtime (#Deno) could aid optimisation by guaranteeing JSObject shapes. Could profiling info be inferred from TS too, or is that only possible at runtime? @mathiashttps://twitter.com/_jayphelps/status/1192980567660343296 …

      Jamie Birch added,

      Jay Phelps @_jayphelps
      Want to learn the fundamentals of how nearly all modern JavaScript engines implemented? Here's a wonderful blog and conf talk by @bmeurer and @mathias. https://mathiasbynens.be/notes/shapes-ics#shapes …
      1 reply 2 retweets 3 likes
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    2. Jamie Birch‏ @LinguaBrowse 9 Nov 2019
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      Follow-up question (again, maybe for @mathias): there is a concept of compiling JS code ahead-of-time, for example in Android app development. Does this effectively produce bytecode equivalent to the maximally-optimised JIT code (e.g. if TurboFan)? Or is it even better optimised?

      2 replies 0 retweets 0 likes
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      Mathias Bynens‏Verified account @mathias 9 Nov 2019
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      Replying to @LinguaBrowse

      The blog post answers that. Bytecode can be generated from JS source code, but runs in the interpreter (i.e. is not optimized). To generate highly-optimized machine code, you need more than just the JS source: you need feedback collected while running in the interpreter.

      4:58 AM - 9 Nov 2019
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      • Jamie Birch
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