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  2. General-purpose computing on graphics processing units

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

    Because the GPU has access to every draw operation, it can analyze data in these forms quickly, whereas a CPU must poll every pixel or data element much more slowly, as the speed of access between a CPU and its larger pool of random-access memory (or in an even worse case, a hard drive) is slower than GPUs and video cards, which typically ...

  3. List of Intel graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Intel_graphics...

    Integrated graphics chip moved from motherboard into the processor. Improved gaming performance; Can access CPU's cache; Each EU has a 128-bit wide FPU that natively executes eight 16-bit or four 32-bit operations per clock cycle. [20] Hierarchical-Z compression and fast Z clear [21]

  4. Graphics processing unit - Wikipedia

    en.wikipedia.org/wiki/Graphics_processing_unit

    Performance is also affected by the number of streaming multiprocessors (SM) for NVidia GPUs, or compute units (CU) for AMD GPUs, or Xe cores for Intel discrete GPUs, which describe the number of on-silicon processor core units within the GPU chip that perform the core calculations, typically working in parallel with other SM/CUs on the GPU ...

  5. Roofline model - Wikipedia

    en.wikipedia.org/wiki/Roofline_model

    The roofline model is an intuitive visual performance model used to provide performance estimates of a given compute kernel or application running on multi-core, many-core, or accelerator processor architectures, by showing inherent hardware limitations, and potential benefit and priority of optimizations.

  6. 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.

  7. Huang's law - Wikipedia

    en.wikipedia.org/wiki/Huang's_law

    In 2006, Nvidia's GPU had a 4x performance advantage over other CPUs. In 2018 the Nvidia GPU was 20 times faster than a comparable CPU node: the GPUs were 1.7x faster each year. Moore's law would predict a doubling every two years, however Nvidia's GPU performance was more than tripled every two years, fulfilling Huang's law.

  8. Comparison of video codecs - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_video_codecs

    RAM speed – generally important for most codec implementations. Processor cache size – low values sometimes cause serious speed degradation, e.g., for CPUs with low caches such as several of the Intel Celeron series. GPU usage by codec – some codecs can drastically increase their performance by taking advantage of GPU resources.

  9. Frame rate - Wikipedia

    en.wikipedia.org/wiki/Frame_rate

    A low frame rate causes aliasing, yields abrupt motion artifacts, and degrades the video quality. Consequently, the temporal resolution is an important factor affecting video quality. Algorithms for FRC are widely used in applications, including visual quality enhancement, video compression and slow-motion video generation.