Compiler Design /Construction | Module 7: Introduction to Code Optimization - Deepening Efficiency by Prakhar Chauhan | Learn Smarter
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Module 7: Introduction to Code Optimization - Deepening Efficiency

Code optimization is a critical phase in the compiler pipeline that transforms intermediate code to improve performance while preserving program semantics. Key optimization goals include enhancing execution speed, reducing resource usage, and conserving energy. This module focuses on Control Flow Graphs (CFG) as the backbone for optimizations and examines various local optimization techniques, such as Common Subexpression Elimination, Copy Propagation, and Dead Code Elimination, which improve code quality by eliminating redundancies.

Sections

  • 1

    Control Flow Graphs (Cfg): The Program's Execution Blueprint

    Control Flow Graphs (CFG) are essential data structures that illustrate the possible execution paths in a program, enabling effective code optimization.

    Learning Practice

  • 1.1

    Basic Blocks: The Atomic Units Of Control Flow

    This section introduces basic blocks as fundamental components of control flow graphs in compilers, explaining their structure and significance in code optimization.

    Learning Practice

  • 1.2

    Edges: Mapping Control Flow Between Blocks

    This section discusses the concept of edges in Control Flow Graphs (CFG), detailing how they represent possible control flow between basic blocks in a program's execution path.

    Learning Practice

  • 1.3

    Why Cfgs Are The Foundation For Optimization

    Control Flow Graphs (CFGs) provide a structured representation of a program's execution paths, which is crucial for performing optimizations that maintain program semantics while enhancing performance and efficiency.

    Learning Practice

  • 2

    Local Optimizations: Enhancing Basic Blocks In Isolation

    Local optimizations focus on enhancing individual basic blocks within a program, improving code efficiency by eliminating redundancies.

    Learning Practice

  • 2.1

    Common Subexpression Elimination (Cse)

    Common Subexpression Elimination is an optimization technique that removes redundant computations of the same expression within a basic block to enhance code efficiency.

    Learning Practice

  • 2.2

    Copy Propagation

    Copy propagation is an optimization technique that eliminates copy statements in code by replacing uses of copied variables with their original values.

    Learning Practice

  • 2.3

    Dead Code Elimination (Dce)

    Dead Code Elimination reduces program size and execution time by removing portions of code that do not affect observable output.

    Learning Practice

References

Untitled document (32).pdf

Class Notes

Memorization

What we have learnt

  • Code optimization transform...
  • Control Flow Graphs (CFGs) ...
  • Local optimizations can sig...

Final Test

Revision Tests