Static Optimization | Dynamic Optimization | |
Definition | Optimization at compile-time or before execution | Optimization at runtime |
Goal | Improve program performance by analyzing code and data structures | Improve program performance by monitoring execution and adapting to changing behavior |
Techniques | Code transformations, data structure optimization, loop unrolling | JIT compilation, profiling, adaptive optimization |
Advantage | No additional runtime overhead, can apply optimizations that can be determined in advance | Can adapt to changing program behavior and data characteristics |
Disadvantage | Unable to adapt to changing program behavior and data characteristics | Additional runtime overhead, may not be effective in all cases |
Best Use Cases | Well-understood program behavior and data characteristics | Uncertain or changing program behavior and data characteristics |
Summary:
Static optimization is useful when the program’s behavior and data characteristics are well-understood and unlikely to change, while dynamic optimization is useful when the program’s behavior and data characteristics are uncertain or likely to change. Both techniques are important for improving program performance and should be used as appropriate for the specific program and its requirements.