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  2. 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.

  3. Windows Subsystem for Linux - Wikipedia

    en.wikipedia.org/wiki/Windows_Subsystem_for_Linux

    WSL beta was introduced in Windows 10 version 1607 (Anniversary Update) on August 2, 2016. Only Ubuntu (with Bash as the default shell) was supported. WSL beta was also called "Bash on Ubuntu on Windows" or "Bash on Windows". WSL was no longer beta in Windows 10 version 1709 (Fall Creators Update), released on October 17, 2017.

  4. Free and open-source graphics device driver - Wikipedia

    en.wikipedia.org/wiki/Free_and_open-source...

    Binary drivers often do not work with current versions of open-source software, and rarely support development snapshots of open-source software; it is usually not directly possible for a developer to use Nvidia's or ATI's proprietary drivers with a development snapshot of an X server or a development snapshot of the Linux kernel.

  5. 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.

  6. Yellow Dog Linux - Wikipedia

    en.wikipedia.org/wiki/Yellow_Dog_Linux

    Yellow Dog Linux includes software for running a Web server (such as Apache/httpd, Perl, and PHP), database server (such as MySQL and PostgreSQL), and network server (NFS and Webmin). Additional software is also included for running an enterprise server or a compute server or cluster, although two separate products from Terra Soft Solutions ...

  7. 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.

  8. VDPAU - Wikipedia

    en.wikipedia.org/wiki/VDPAU

    VDPAU was originally designed by Nvidia for their PureVideo SIP block present on their GeForce 8 series and later GPUs. [8]On March 9, 2015, Nvidia released VDPAU version 1.0 which supports High Efficiency Video Coding (HEVC) decoding for the Main, Main 4:4:4, Main Still Picture, Main 10, and Main 12 profiles.

  9. QEMU - Wikipedia

    en.wikipedia.org/wiki/QEMU

    The Quick Emulator (QEMU) [4] is a free and open-source emulator that uses dynamic binary translation to emulate a computer's processor; that is, it translates the emulated binary codes to an equivalent binary format which is executed by the machine.