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  2. 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.

  3. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [2] 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.

  4. Windows 11 - Wikipedia

    en.wikipedia.org/wiki/Windows_11

    Thus, Windows 11 is the first consumer version of Windows not to support 32-bit processors (although Windows Server 2008 R2 is the first version of Windows Server to not support them). [ 148 ] [ 149 ] The minimum RAM and storage requirements were also increased; Windows 11 now requires at least 4 GB of RAM and 64 GB of storage. [ 150 ]

  5. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]

  6. Parallel Thread Execution - Wikipedia

    en.wikipedia.org/wiki/Parallel_Thread_Execution

    The setp.cc.type instruction sets a predicate register to the result of comparing two registers of appropriate type, there is also a set instruction, where set.le.u32.u64 %r101, %rd12, %rd28 sets the 32-bit register %r101 to 0xffffffff if the 64-bit register %rd12 is less than or equal to the 64-bit register %rd28. Otherwise %r101 is set to ...

  7. rCUDA - Wikipedia

    en.wikipedia.org/wiki/RCUDA

    rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA application programming interface ( API ), it allows the allocation of one or more CUDA-enabled GPUs to a single application.

  8. Browse Speed & Security Utilities - AOL

    www.aol.com/products/utilities

    Get the tools you need to help boost internet speed, send email safely and security from any device, find lost computer files and folders and monitor your credit.

  9. Windows 10 - Wikipedia

    en.wikipedia.org/wiki/Windows_10

    The 32-bit variants of Windows 10 will remain available via non-OEM channels, and Microsoft will continue to "[provide] feature and security updates on these devices". [289] This was later followed by Windows 11 dropping support for 32-bit hardware altogether, thus making Windows 10 the final version of Windows to have a 32-bit version ...