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  2. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [6] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.

  3. Raspberry Pi - Wikipedia

    en.wikipedia.org/wiki/Raspberry_Pi

    Raspberry Pi can use a VideoCore IV GPU via a binary blob, which is loaded into the GPU at boot time from the SD-card, and additional software, that initially was closed source. [225] This part of the driver code was later released. [226] However, much of the actual driver work is done using the closed source GPU code.

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