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Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists, and today is a popular package manager for Python and R.
In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
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.
Mingw-w64 includes a port of the GNU Compiler Collection (GCC), GNU Binutils for Windows (assembler, linker, archive manager), a set of freely distributable Windows specific header files and static import libraries for the Windows API, a Windows-native version of the GNU Project's GNU Debugger, and miscellaneous utilities.
Learn how to download and install or uninstall the Desktop Gold software and if your computer meets the system requirements.
Bus width – Maximum bit width of the memory bus or buses used. This will always be a factory bus width. API support section. Direct3D – Maximum version of Direct3D fully supported. OpenGL – Maximum version of OpenGL fully supported. OpenCL – Maximum version of OpenCL fully supported. Vulkan – Maximum version of Vulkan fully supported.
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IDLE (short for Integrated Development and Learning Environment) [2] [3] is an integrated development environment for Python, which has been bundled with the default implementation of the language since 1.5.2b1.