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  2. 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 each loop.

  3. Skewb - Wikipedia

    en.wikipedia.org/wiki/Skewb

    The Skewb (/ ˈskjuːb /) is a combination puzzle and a mechanical puzzle similar to the Rubik's Cube. It was invented by Tony Durham and marketed by Uwe Mèffert. [1] Although it is cubical, it differs from the typical cubes ' construction; its axes of rotation pass through the corners of the cube, rather than the centers of the faces.

  4. Loop unrolling - Wikipedia

    en.wikipedia.org/wiki/Loop_unrolling

    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.

  5. Loop nest optimization - Wikipedia

    en.wikipedia.org/wiki/Loop_nest_optimization

    Loop nest optimization. In computer science and particularly in compiler design, loop nest optimization (LNO) is an optimization technique that applies a set of loop transformations for the purpose of locality optimization or parallelization or another loop overhead reduction of the loop nests. (Nested loops occur when one loop is inside of ...

  6. Loop optimization - Wikipedia

    en.wikipedia.org/wiki/Loop_optimization

    Loop optimization. In compiler theory, loop optimization is the process of increasing execution speed and reducing the overheads associated with loops. It plays an important role in improving cache performance and making effective use of parallel processing capabilities. Most execution time of a scientific program is spent on loops; as such ...

  7. Interprocedural optimization - Wikipedia

    en.wikipedia.org/wiki/Interprocedural_optimization

    Interprocedural optimization. Interprocedural optimization (IPO) is a collection of compiler techniques used in computer programming to improve performance in programs containing many frequently used functions of small or medium length. IPO differs from other compiler optimizations by analyzing the entire program as opposed to a single function ...

  8. Inline expansion - Wikipedia

    en.wikipedia.org/wiki/Inline_expansion

    In computing, inline expansion, or inlining, is a manual or compiler optimization that replaces a function call site with the body of the called function. Inline expansion is similar to macro expansion, but occurs during compilation, without changing the source code (the text), while macro expansion occurs prior to compilation, and results in different text that is then processed by the compiler.

  9. Optimizing compiler - Wikipedia

    en.wikipedia.org/wiki/Optimizing_compiler

    MSVC. v. t. e. An optimizing compiler is a compiler designed to generate code that is optimized in aspects such as minimizing program execution time, memory use, storage size, and power consumption. Optimization is generally implemented as a sequence of optimizing transformations, algorithms that transform code to produce semantically ...