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  2. 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.

  3. 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 ...

  4. 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.

  5. Optimizing compiler - Wikipedia

    en.wikipedia.org/wiki/Optimizing_compiler

    Scope describes how much of the input code is considered to apply optimizations. Local scope optimizations use information local to a basic block. [2] Since basic blocks have no control flow, these optimizations need very little analysis, saving time and reducing storage requirements, but this also means that no information is preserved across jumps.

  6. 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.

  7. Strength reduction - Wikipedia

    en.wikipedia.org/wiki/Strength_reduction

    In compiler construction, strength reduction is a compiler optimization where expensive operations are replaced with equivalent but less expensive operations. [1] The classic example of strength reduction converts strong multiplications inside a loop into weaker additions – something that frequently occurs in array addressing.

  8. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    Website. www.highs.dev. HiGHS is open-source software to solve linear programming (LP), mixed-integer programming (MIP), and convex quadratic programming (QP) models. [1] Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, JavaScript, Fortran, and C#. It has no external dependencies.

  9. Profile-guided optimization - Wikipedia

    en.wikipedia.org/wiki/Profile-guided_optimization

    Profile-guided optimization. Profile-guided optimization (PGO, sometimes pronounced as pogo[1]), also known as profile-directed feedback (PDF), [2] and feedback-directed optimization (FDO) [3] is a compiler optimization technique in computer programming that uses profiling to improve program runtime performance.