Tracing JITs, once celebrated for their potential, often focus on loop execution but have waned in popularity as their effectiveness came into question.
JIT compilers, whether method-based or tracing, interleave compiling and execution at runtime, but tracing JITs specifically generate code by monitoring program behavior.
The distinction between regular JIT compilers and meta-JITs lies in their application: regular JITs compile a specific language, while meta-JITs provide a framework for multiple languages.
With nearly two decades of experience with PyPy, I see how its meta-JIT architecture enhances flexibility and efficiency in compiling various programming languages.
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