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  2. Loop unrolling - Wikipedia

    en.wikipedia.org/wiki/Loop_unrolling

    In addition, the loop control variables and number of operations inside the unrolled loop structure have to be chosen carefully so that the result is indeed the same as in the original code (assuming this is a later optimization on already working code). For example, consider the implications if the iteration count were not divisible by 5.

  3. Program optimization - Wikipedia

    en.wikipedia.org/wiki/Program_optimization

    This depends on the source language, the target machine language, and the compiler, and can be both difficult to understand or predict and changes over time; this is a key place where understanding of compilers and machine code can improve performance. Loop-invariant code motion and return value optimization are examples of optimizations that ...

  4. Optimizing compiler - Wikipedia

    en.wikipedia.org/wiki/Optimizing_compiler

    Loop optimization acts on the statements that make up a loop, such as a for loop, for example loop-invariant code motion. Loop optimizations can have a significant impact because many programs spend a large percentage of their time inside loops. [3]: 596 Some optimization techniques primarily designed to operate on loops include:

  5. Loop-invariant code motion - Wikipedia

    en.wikipedia.org/wiki/Loop-invariant_code_motion

    Usually, a reaching definitions analysis is used to detect whether a statement or expression is loop invariant. For example, if all reaching definitions for the operands of some simple expression are outside of the loop, the expression can be moved out of the loop. Recent work by Moyen, Rubiano and Seiller uses data-flow dependence analysis [1 ...

  6. Common subexpression elimination - Wikipedia

    en.wikipedia.org/wiki/Common_subexpression...

    In compiler theory, common subexpression elimination (CSE) is a compiler optimization that searches for instances of identical expressions (i.e., they all evaluate to the same value), and analyzes whether it is worthwhile replacing them with a single variable holding the computed value.

  7. Loop optimization - Wikipedia

    en.wikipedia.org/wiki/Loop_optimization

    The boundaries of the polytopes, the data dependencies, and the transformations are often described using systems of constraints, and this approach is often referred to as a constraint-based approach to 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 ...

  8. Loop fission and fusion - Wikipedia

    en.wikipedia.org/wiki/Loop_fission_and_fusion

    Conversely, loop fusion (or loop jamming) is a compiler optimization and loop transformation which replaces multiple loops with a single one. [3] [2] Loop fusion does not always improve run-time speed. On some architectures, two loops may actually perform better than one loop because, for example, there is increased data locality within

  9. Induction variable - Wikipedia

    en.wikipedia.org/wiki/Induction_variable

    In computer science, an induction variable is a variable that gets increased or decreased by a fixed amount on every iteration of a loop or is a linear function of another induction variable. [1] For example, in the following loop, i and j are induction variables: