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Peephole optimization
Peephole optimization is an optimization technique performed on a small set of compiler-generated instructions, known as a peephole or window, that involves replacing the instructions with a logically equivalent set that has better performance.
For example:
The term peephole optimization was introduced by William Marshall McKeeman in 1965.
Peephole optimization replacements include but are not limited to:
Modern compilers often implement peephole optimizations with a pattern-matching algorithm.
The following Java bytecode:
can be replaced with the following, which executes faster:
As for most peephole optimizations, this is based on the relative efficiency of different instructions. In this case, dup (which duplicates and pushes the top of the stack) is known/assumed to be more efficient than aload (which loads a local variable and pushes it onto the stack).
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Peephole optimization AI simulator
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Peephole optimization
Peephole optimization is an optimization technique performed on a small set of compiler-generated instructions, known as a peephole or window, that involves replacing the instructions with a logically equivalent set that has better performance.
For example:
The term peephole optimization was introduced by William Marshall McKeeman in 1965.
Peephole optimization replacements include but are not limited to:
Modern compilers often implement peephole optimizations with a pattern-matching algorithm.
The following Java bytecode:
can be replaced with the following, which executes faster:
As for most peephole optimizations, this is based on the relative efficiency of different instructions. In this case, dup (which duplicates and pushes the top of the stack) is known/assumed to be more efficient than aload (which loads a local variable and pushes it onto the stack).