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  2. GPU-Z - Wikipedia

    en.wikipedia.org/wiki/GPU-Z

    TechPowerUp GPU-Z (or just GPU-Z) is a lightweight utility designed to provide information about video cards and GPUs. [2] The program displays the specifications of Graphics Processing Unit (often shortened to GPU) and its memory; also displays temperature, core frequency, memory frequency, GPU load and fan speeds.

  3. System requirements - Wikipedia

    en.wikipedia.org/wiki/System_requirements

    The most common set of requirements defined by any operating system or software application is the physical computer resources, also known as hardware, A hardware requirements list is often accompanied by a hardware compatibility list (HCL), especially in case of operating systems. An HCL lists tested, compatible, and sometimes incompatible ...

  4. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    Alea GPU, [19] created by QuantAlea, [20] introduces native GPU computing capabilities for the Microsoft .NET languages F# [21] and C#. Alea GPU also provides a simplified GPU programming model based on GPU parallel-for and parallel aggregate using delegates and automatic memory management. [22]

  5. List of Nvidia graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Nvidia_graphics...

    This number is generally used as a maximum throughput number for the GPU and generally, a higher fill rate corresponds to a more powerful (and faster) GPU. Memory subsection. Bandwidth – Maximum theoretical bandwidth for the processor at factory clock with factory bus width. GHz = 10 9 Hz. Bus type – Type of memory bus or buses used.

  6. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA (Compute Unified Device Architecture) 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.

  7. Windows Display Driver Model - Wikipedia

    en.wikipedia.org/wiki/Windows_Display_Driver_Model

    A new memory model is implemented that gives each GPU a per-process virtual address space. Direct addressing of video memory is still supported by WDDMv2 for graphics hardware that requires it, but that is considered a legacy case. IHVs are expected to develop new hardware that supports virtual addressing.

  8. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm is free, libre and open-source software (except the GPU firmware blobs [4]), and it is distributed under various licenses. ROCm initially stood for Radeon Open Compute platform; however, due to Open Compute being a registered trademark, ROCm is no longer an acronym — it is simply AMD's open-source stack designed for GPU compute.

  9. RDNA 3 - Wikipedia

    en.wikipedia.org/wiki/RDNA_3

    The Infinity Cache capacity was decreased due to RDNA 3 having wider a memory interface up to 384-bit whereas RDNA 2 used memory interfaces up to 256-bit. RDNA 3 having a wider 384-bit memory means that its cache hitrate does not have to be as high to still avoid bandwidth bottlenecks as there is higher memory bandwidth. [ 20 ]