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:
- Structure-preserving transformations
- 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