Basic Block Optimization Techniques: Improving Code Efficiency

Explore basic block optimization techniques used to enhance code efficiency within a basic block without altering the program's outcome. This guide covers constant folding, dead code elimination, and common subexpression elimination, improving code performance.



Basic Block Optimization Techniques

What is Basic Block Optimization?

Basic block optimization improves the efficiency of code within a basic block (a sequence of code with one entry point and one exit point) without changing the overall result. These optimizations happen during compilation. There are two main categories of basic block optimizations:

  1. Structure-preserving transformations
  2. Algebraic transformations

Structure-Preserving Transformations

These optimizations rearrange code without changing the fundamental structure of the expressions:

(a) Common Subexpression Elimination

This removes redundant calculations. If the same expression is calculated multiple times, it's calculated once and the result is reused.

Example:

Before Optimization

a := b + c
d := a - e
f := b + c
g := a - e
After Optimization

a := b + c
d := a - e
f := a
g := d

(b) Dead Code Elimination

This removes code that doesn't affect the program's output. For example, if a variable is assigned a value but never used, the assignment is unnecessary.

(c) Renaming Temporary Variables

This improves readability and avoids naming conflicts by renaming temporary variables. For instance, temp1 could be changed to sum if it stores a sum.

(d) Interchange of Statements

If two adjacent statements don't depend on each other, their order can be changed without altering the outcome.

Example:

Before Interchange

x := a + b
y := c * d
After Interchange

y := c * d
x := a + b

Algebraic Transformations

These change expressions to algebraically equivalent forms to create more efficient code:

Constant Folding

This evaluates constant expressions at compile time. For example, `2 + 2` would be replaced with `4`.

Common Subexpressions in Relational Operators

Redundant calculations in comparisons (<, >, ==, etc.) can be eliminated.

Associative Expressions

Reordering associative expressions can expose common subexpressions.

Example:

Before Optimization

x := a + b
y := b + c + a
After Optimization

x := a + b
temp := a + b
y := temp + c