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  2. Vulkan - Wikipedia

    en.wikipedia.org/wiki/Vulkan

    Vulkan targets high-performance real-time 3D-graphics applications, such as video games and interactive media, and highly parallelized computing.Vulkan is intended to offer higher performance and more efficient CPU and GPU usage compared to the older OpenGL and Direct3D 11 APIs.

  3. Nvidia Optimus - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Optimus

    Nvidia Optimus is a computer GPU switching technology created by Nvidia which, depending on the resource load generated by client software applications, will seamlessly switch between two graphics adapters within a computer system in order to provide either maximum performance or minimum power draw from the system's graphics rendering hardware.

  4. Ada Lovelace (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Ada_Lovelace_(micro...

    Ada Lovelace, also referred to simply as Lovelace, [1] is a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to the Ampere architecture, officially announced on September 20, 2022. It is named after the English mathematician Ada Lovelace, [2] one of the first computer programmers.

  5. 3DMark - Wikipedia

    en.wikipedia.org/wiki/3DMark

    3DMark is a computer benchmarking tool created and developed by UL (formerly Futuremark), to determine the performance of a computer's 3D graphic rendering and CPU workload processing capabilities. Running 3DMark produces a 3DMark score, with higher numbers indicating better performance.

  6. Comparison of 3D computer graphics software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_3D_computer...

    The operating systems on which the editors can run natively (without emulation or compatibility layers), meaning which operating systems have which editors specifically coded for them (not, for example, Wings 3D for Windows running on Linux with Wine).

  7. General-purpose computing on graphics processing units

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

    General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).

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

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

    The main competing factor was the price of hardware and raw performance in 3D computer games, which is greatly affected by the efficient translation of API calls into GPU opcodes. The display driver and the video decoder are inherent parts of the graphics card: hardware designed to assist in the calculations necessary for the decoding of video ...

  9. Heterogeneous System Architecture - Wikipedia

    en.wikipedia.org/wiki/Heterogeneous_System...

    The platform's stated aim is to reduce communication latency between CPUs, GPUs and other compute devices, and make these various devices more compatible from a programmer's perspective, [2]: 3 [3] relieving the programmer of the task of planning the moving of data between devices' disjoint memories (as must currently be done with OpenCL or CUDA).