PyPy v7.3.22

PyPy 7.3.22 버전이 출시되어 Python 2.7과 3.11 인터프리터를 지원하며, 주요 JIT 버그 수정과 CPython 호환성 개선이 포함되었습니다. 특히 RPython _pickle 모듈과 json 인코더가 도입되어 피클링과 JSON 처리 속도가 크게 향상되었고, 멀티프로세싱 환경에서의 성능도 개선되었습니다. 이번 마이크로 릴리스는 기존 7.3 시리즈와 API 호환성을 유지하며, PyPy의 빠른 JIT 컴파일러 기반 성능을 더욱 강화합니다. PyPy는 다양한 플랫폼 바이너리를 제공하며, 개발자 커뮤니티 참여와 C 확장 라이브러리의 HPy/CFFI 변환을 권장하고 있습니다.

https://pypy.org/posts/2026/04/pypy-v7322-release.html

#pypy #python #jit #rpython #performance

How fast can the RPython GC allocate?

https://pypy.org/posts/2025/06/rpython-gc-allocation-speed.html

#HackerNews #RPython #GC #Allocation #RPython #Performance #Memory #Management #Hacker #News

I finally think I've figured out a basic #Nix heap using the #Haskell/#GHC technique of flagging every heap object to detect infinite loops. Cache invalidation really is hard... Fortunately, Nix is pure, so I don't have to invalidate any heap objects directly. #RPython makes it easy to hack, although it's still a bit of a slog to debug segfaults.

I think I might have to actually look at #CppNix now, or at least reread Eelco's thesis. I need to understand the differences between evaluation and instantiation.

I apparently was overly emotional last night and started an #RPython version of #Nix. I have about half a parser so far.

If I keep working on this, the goals will be to have a smaller footprint in terms of code and CPU (but not necessarily RAM) than CppNix. This sounds quite achievable because the RPython toolkit comes with a JIT generator: insert interpreter, receive JIT.

Contributions will be welcome once everything is available to the public. Wait a day or two, please.

Germane to the current #NixOS / #nixpkgs drama, I think.

New blog post: Which Interpreters are Faster, AST or Bytecode?

It gives a high-level overview over our OOPLSA paper, which investigates interpreters on top of metacompilation systems.
Will be presented next week at @splashcon.

https://stefan-marr.de/2023/10/ast-vs-bytecode-interpreters/

#graalvm #truffle #rpython