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  2. Comparison of online source code playgrounds - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_online...

    Coder Online IDE [q] Free Yes Yes Yes Yes Yes Batch, Clojure, CoffeeScript, CSS, C++, Go, HTML, Java, JavaScript, JSON, Markdown, PHP, Python, Ruby, Rust, TypeScript, Visual Basic, XML: CSSDesk [r] Free Yes Yes No No No JS Bin [s] Free & Paid Yes Yes Yes No No CSS Less/Myth/Sass, CoffeeScript, jQuery, Processing.js: intervue.io [t] Free & Paid ...

  3. Borland Graphics Interface - Wikipedia

    en.wikipedia.org/wiki/Borland_Graphics_Interface

    BGI was accessible in C/C++ with graphics.lib / graphics.h, and in Pascal via the graph unit. BGI was less powerful than modern graphics libraries such as SDL or OpenGL, since it was designed for 2D presentation graphics instead of event-based 3D applications. However, it has been considered simpler to code.

  4. Nvidia CUDA Compiler - Wikipedia

    en.wikipedia.org/wiki/Nvidia_CUDA_Compiler

    CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.

  5. JUCE - Wikipedia

    en.wikipedia.org/wiki/Juce

    When the files and settings for a JUCE project have been specified, the Projucer automatically generates a collection of 3rd-party project files to allow the project to be compiled natively on each target platform. It can currently generate Xcode projects, Visual Studio projects, Linux Makefiles, Android Ant builds and CodeBlocks projects. As ...

  6. Parallel Thread Execution - Wikipedia

    en.wikipedia.org/wiki/Parallel_Thread_Execution

    The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an IL), and the graphics driver contains a compiler which translates PTX instructions into executable binary code, [2] which can run on the processing cores of Nvidia graphics processing units (GPUs).

  7. Intel Parallel Studio - Wikipedia

    en.wikipedia.org/wiki/Intel_Parallel_Studio

    Intel Parallel Studio XE was a software development product developed by Intel that facilitated native code development on Windows, macOS and Linux in C++ and Fortran for parallel computing. [2] Parallel programming enables software programs to take advantage of multi-core processors from Intel and other processor vendors.

  8. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing.

  9. AMD Optimizing C/C++ Compiler - Wikipedia

    en.wikipedia.org/wiki/AMD_Optimizing_C/C++_Compiler

    The AMD Optimizing C/C++ Compiler (AOCC) is an optimizing C/C++ and Fortran compiler suite from AMD targeting 32-bit and 64-bit Linux platforms. [ 1 ] [ 2 ] It is a proprietary fork of LLVM + Clang with various additional patches to improve performance for AMD's Zen microarchitecture in Epyc , and Ryzen microprocessors.