- Code optimization aims to improve the intermediate code or machine code so that it executes faster, uses less memory, and consumes fewer resources.
- There are the following types of code optimization techniques:-
- Peephole Optimization
- This optimization looks at a small sequence of consecutive instructions and replaces them with more efficient instructions without changing the meaning.
- Basic Block Optimization
- In this optimization, sequences of instructions with a single entry and exit point are optimized using techniques like DAG(Directed Acyclic Graph)-based optimization.
- It identifies common sub-expressions, eliminates redundancy, and produces efficient code.
- Global Data Flow Analysis
- This optimization uses information about the flow of data across the program to eliminate redundant calculations, unreachable code, or unnecessary variables. This global flow of data across the program may include Unused variables, Dead code, Redundant calculations, etc.
- This helps in optimizing across the entire function or program rather than a single block.
- Efficient Data Flow Algorithms
- In this optimization, algorithms compute live variables, reach definitions, available expressions, and constant propagation to systematically optimize code and improve execution performance.
- Peephole Optimization
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