CSE is an optimization technique that finds expressions which are computed more than once and reuses the result instead of recomputing it.
It reduces the number of repeated calculations, which makes the program run faster and use less resources.
In the code a = b + c; d = b + c + e;, the expression b + c is a common subexpression.
Ensuring that the values used in the expression have not changed between uses, so the reused result is still correct.
By avoiding repeated calculations, it saves CPU time and can reduce power consumption, especially in large or complex programs.
CSE finds expressions that appear multiple times and reuses their computed values to save time.
The expression y + z appears in both assignments, so it is a common subexpression.
If variables change, the old result is no longer valid, so CSE must ensure values are unchanged.
CSE focuses on avoiding repeated calculations, not on removing variables to save memory.
CSE is usually done on intermediate code to optimize before final code generation.