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how jit compilers are implemented and fast: pypy, luajit, graal, and more [dfea4efc]

Tags: articles, jit

https://web.archive.org/web/20220430042047/carolchen.me/blog/jits-impls/

original (now dead link): carolchen.me/blog/jits-impls/

  • Interpreted languages still go down to bytecode

  • Function reuse happens, if you compile multiply(1,2), and then wrote multiply(2,3) then the already compiled version will be used

    • llvm bitcode can be seen

  • jits don't compile ahead of time, but still compiles source to machine code

    • not strictly about compiling code just-in-time, but compiling optimial code at an optimal time

  • how do we generate optimal code? not all assembly instructions are created equal

    • humans typically write better assemly than a computer
  • jits usually are more expensive but make up in optimized compiled code