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.