JIT coverage is still quite variable. For some benchmarks, e.g. richards it is close to 100%.
For others, much lower:
https://github.com/savannahostrowski/pyperf_bench/blob/main/profiling/jit.svg
Note: A fair bit of the time attributed to the interpreter is frame cleanup, so makes the interpreter fractions look larger than they are.
We can increase JIT coverage, by:
- Treating dynamic exits, like side exits: warming up and compiling a new side trace.
- Adding possible jit entry points at function entries, as well as backward edges.