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There are primarily three types of JIT compilers: method-based JIT, trace-based JIT, and hybrid JIT, each varying in the granularity and strategy of compilation.

JIT can increase start-up time as it compiles code during execution, but it may also decrease start-up time by deferring compilation of less critical code paths until necessary.

While AOT compilation translates code to machine code before execution, JIT compilation does it during execution, allowing it to perform optimizations based on the running environment.

Dynamic languages benefit from JIT compilation as it can optimize based on runtime behavior and types, which are not fully known until execution time.

Garbage collection can pause program execution, affecting JIT performance. However, JIT compilers can optimize garbage collection routines to minimize pauses and improve overall performance.

A JIT compiler can optimize code to take advantage of CPU cache locality, reduce cache misses, and improve execution speed by maintaining frequently executed code paths in the cache.

JIT compilation is a form of dynamic compilation where code is compiled during execution rather than prior to execution, which can improve performance by optimizing for the current execution context.

JIT compilation can lead to increased memory usage, potential delays during execution due to compilation time, and inconsistent performance due to varying optimization levels.

Profiling collects runtime information which the JIT compiler uses to identify hot spots for optimization so that the most frequently executed paths are made more efficient.