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  2. Inner loop - Wikipedia

    en.wikipedia.org/wiki/Inner_loop

    The two examples below, written in Python, present a while loop with an inner for loop and a while loop without an inner loop. Although both have the same terminating condition for their while loops, the first example will finish faster because of the inner for loop. The variable innermax is a fraction of the maxticketno variable in the first ...

  3. Loop optimization - Wikipedia

    en.wikipedia.org/wiki/Loop_optimization

    For example, a single statement within an outer loop ' for i := 0 to n ' and an inner loop ' for j := 0 to i+2 ' is executed once for each (i, j) pair such that 0 <= i <= n and 0 <= j <= i+2. Once again, a transformation is legal if it preserves the temporal sequence of all dependencies. Estimating the benefits of a transformation, or finding ...

  4. Loop interchange - Wikipedia

    en.wikipedia.org/wiki/Loop_interchange

    Loop interchange on this example can improve the cache performance of accessing b(j,i), but it will ruin the reuse of a(i) and c(i) in the inner loop, as it introduces two extra loads (for a(i) and for c(i)) and one extra store (for a(i)) during each iteration. As a result, the overall performance may be degraded after loop interchange.

  5. Category:Software optimization - Wikipedia

    en.wikipedia.org/wiki/Category:Software_optimization

    Software performance management (3 C, 32 P) ... Inner loop; Input enhancement (computer science) ... List of performance analysis tools;

  6. Analysis of algorithms - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_algorithms

    The inner loop, on the other hand, is governed by the value of j, which iterates from 1 to i. On the first pass through the outer loop, j iterates from 1 to 1: The inner loop makes one pass, so running the inner loop body (step 6) consumes T 6 time, and the inner loop test (step 5) consumes 2T 5 time.

  7. Loop unrolling - Wikipedia

    en.wikipedia.org/wiki/Loop_unrolling

    Loop unrolling, also known as loop unwinding, is a loop transformation technique that attempts to optimize a program's execution speed at the expense of its binary size, which is an approach known as space–time tradeoff. The transformation can be undertaken manually by the programmer or by an optimizing compiler.