Interpreter, JIT, and Hot Code

The JVM can interpret bytecode and compile frequently executed code to native machine instructions using JIT compilation. Runtime profiling allows optimizations such as inlining, dead-code elimination, escape analysis, and speculative optimization.

Bytecode
   |
   +--> Interpreter --> execution
   |
   +--> JIT compiler --> native code --> optimized hot path
                              |
                              +--> deoptimization if assumptions fail

This means startup and steady-state performance can differ. Benchmarking Java requires warm-up, realistic workloads, and proper measurement.

Benchmarking

Do not conclude that one Java implementation is faster from a tiny cold-start benchmark; JIT warm-up matters.

Key Takeaways
  • JIT compilation is profile-guided and runtime-aware.
  • Optimized code can be deoptimized when assumptions fail.
  • Use proper benchmarking methodology.