What are the main techniques to optimize JIT compilation?
Some main techniques include inlining, loop unrolling, and adaptive optimization based on runtime profiling.
How does adaptive optimization work in JIT compilation?
Adaptive optimization adjusts the compilation strategy based on the actual usage patterns of the code during execution.
Can JIT compilation improve performance for all types of applications?
Not necessarily. JIT compilation is most beneficial for long-running applications where the overhead can be amortized.
What are the trade-offs of using JIT compilation?
The trade-offs include increased startup time and memory usage, but it can lead to better runtime performance.
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