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Reflections on 2 years of CPython's JIT Compiler: The good, the bad, the ugly

10 months ago
  • #JIT
  • #Performance
  • #CPython
  • The CPython JIT is still experimental and not ready for prime time.
  • The JIT was initially a solo effort but has grown into a community-driven project.
  • Efforts have been made to make the JIT easier to work on and teach, including using a tracing JIT for easier static analysis.
  • CPython 3.13's JIT is often slower than the interpreter, especially when built with modern compilers like Clang 20.
  • Performance improvements in CPython 3.14's JIT are mixed, with some benchmarks showing speedups and others showing slowdowns.
  • Media coverage has sometimes misrepresented the JIT's performance, leading to incorrect expectations.
  • Despite current performance issues, there is optimism for future improvements due to a growing community and ongoing optimization efforts.
  • The author acknowledges personal shortcomings in contributing to the JIT's development and clarifies points about performance metrics.