Introduction to Code Optimization - Deepening Efficiency - Compiler Design /Construction
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Introduction to Code Optimization - Deepening Efficiency

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.

8 sections

Sections

Navigate through the learning materials and practice exercises.

  1. 1
    Control Flow Graphs (Cfg): The Program's Execution Blueprint

    Control Flow Graphs (CFG) are essential data structures that illustrate the...

  2. 1.1
    Basic Blocks: The Atomic Units Of Control Flow

    This section introduces basic blocks as fundamental components of control...

  3. 1.2
    Edges: Mapping Control Flow Between Blocks

    This section discusses the concept of edges in Control Flow Graphs (CFG),...

  4. 1.3
    Why Cfgs Are The Foundation For Optimization

    Control Flow Graphs (CFGs) provide a structured representation of a...

  5. 2
    Local Optimizations: Enhancing Basic Blocks In Isolation

    Local optimizations focus on enhancing individual basic blocks within a...

  6. 2.1
    Common Subexpression Elimination (Cse)

    Common Subexpression Elimination is an optimization technique that removes...

  7. 2.2
    Copy Propagation

    Copy propagation is an optimization technique that eliminates copy...

  8. 2.3
    Dead Code Elimination (Dce)

    Dead Code Elimination reduces program size and execution time by removing...

What we have learnt

  • Code optimization transforms intermediate code for better performance while ensuring the same output as the original program.
  • Control Flow Graphs (CFGs) visually represent execution paths, which are essential for identifying optimization opportunities.
  • Local optimizations can significantly enhance efficiency without altering program behavior, and they often operate synergistically.

Key Concepts

-- Code Optimization
The process of applying transformations to intermediate code to produce a more efficient equivalent program.
-- Control Flow Graph (CFG)
A directed graph representation of all possible execution paths in a program, where nodes denote basic blocks and edges represent control transfers.
-- Basic Block
A sequence of instructions in a program with a single entry and exit point, executing sequentially without internal branches.
-- Common Subexpression Elimination (CSE)
An optimization technique that identifies and removes redundant computations of the same subexpression within a basic block.
-- Copy Propagation
An optimization that eliminates unnecessary copy statements in a block by replacing their uses with the original value.
-- Dead Code Elimination (DCE)
The process of removing code that does not affect the observable output of a program, thereby simplifying the codebase.

Additional Learning Materials

Supplementary resources to enhance your learning experience.