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  2. Code completion - Wikipedia

    en.wikipedia.org/wiki/Code_completion

    The Eclipse IDE has code completion tools that come packaged with the program. [15] [16] It includes notable support for Java, C++, and JavaScript code authoring. The Code Recommenders Eclipse project used to provide powerful intelligent completion, [17] but due to lack of resources, was dropped in Eclipse 2018–12, and then archived in July 2019.

  3. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, R, JavaScript, Fortran, and C#. It has no external dependencies. A convenient thin wrapper to Python is available via the highspy PyPI package. Although generally single-threaded, some solver components can utilize multi-core ...

  4. List of performance analysis tools - Wikipedia

    en.wikipedia.org/wiki/List_of_performance...

    Arm MAP, a performance profiler supporting Linux platforms.; AppDynamics, an application performance management solution [buzzword] for C/C++ applications via SDK.; AQtime Pro, a performance profiler and memory allocation debugger that can be integrated into Microsoft Visual Studio, and Embarcadero RAD Studio, or can run as a stand-alone application.

  5. Meson (software) - Wikipedia

    en.wikipedia.org/wiki/Meson_(software)

    The syntax of Meson's build description files, the Meson language, borrows from Python, but is not Python. It is designed such that it can be reimplemented in any other language; [9] for example, muon [10] is a C implementation, and Meson++ [11] is a C++ implementation. The dependency on Python is an implementation detail.

  6. 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.

  7. Profile-guided optimization - Wikipedia

    en.wikipedia.org/wiki/Profile-guided_optimization

    The HotSpot Java virtual machine (JVM) uses profile-guided optimization to dynamically generate native code. As a consequence, a software binary is optimized for the actual load it is receiving. If the load changes, adaptive optimization can dynamically recompile the running software to optimize it for the new load. This means that all software ...

  8. PyDev - Wikipedia

    en.wikipedia.org/wiki/PyDev

    PyDev received improvements to type inference and a notable increase in contributions to code base when version 2.8 was released in July 2013. [6] Since then, numerous additional improvements have been made to PyDev and it has gained many positive reviews.

  9. Optimizing compiler - Wikipedia

    en.wikipedia.org/wiki/Optimizing_compiler

    A space optimization that recognizes common sequences of code, creates subprograms ("code macros") that contain the common code, and replaces the occurrences of the common code sequences with calls to the corresponding subprograms. [5] This is most effectively done as a machine code optimization, when all the