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Loop Optimization

Loop optimization is most valuable machine-independent optimization because program's inner loop takes bulk to time of a programmer.

If we decrease the number of instructions in an inner loop then the running time of a program may be improved even if we increase the amount of code outside that loop.

For loop optimization the following three techniques are important:

  1. Code motion
  2. Induction-variable elimination
  3. Strength reduction

1.Code Motion:

Code motion is used to decrease the amount of code in loop. This transformation takes a statement or expression which can be moved outside the loop body without affecting the semantics of the program.

For example

In the while statement, the limit-2 equation is a loop invariant equation.

2.Induction-Variable Elimination

Induction variable elimination is used to replace variable from inner loop.

It can reduce the number of additions in a loop. It improves both code space and run time performance.

Loop Optimization

In this figure, we can replace the assignment t4:=4*j by t4:=t4-4. The only problem which will be arose that t4 does not have a value when we enter block B2 for the first time. So we place a relation t4=4*j on entry to the block B2.

3.Reduction in Strength

  • Strength reduction is used to replace the expensive operation by the cheaper once on the target machine.
  • Addition of a constant is cheaper than a multiplication. So we can replace multiplication with an addition within the loop.
  • Multiplication is cheaper than exponentiation. So we can replace exponentiation with multiplication within the loop.


After strength reduction the code will be:

In the above code, it is cheaper to compute s=s+6 than j=3 *i

Next TopicDAG Representation

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