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  2. LINPACK benchmarks - Wikipedia

    en.wikipedia.org/wiki/LINPACK_benchmarks

    The LINPACK benchmark report appeared first in 1979 as an appendix to the LINPACK user's manual. [4]LINPACK was designed to help users estimate the time required by their systems to solve a problem using the LINPACK package, by extrapolating the performance results obtained by 23 different computers solving a matrix problem of size 100.

  3. Skia Graphics Engine - Wikipedia

    en.wikipedia.org/wiki/Skia_Graphics_Engine

    Portable Document Format (PDF) output; GPU-accelerated rendering by using: [3] ANGLE backend, which translates OpenGL ES calls into vendor's native APIs; Vulkan, and Metal. Scalable Vector Graphics (SVG) XML Paper Specification (XPS)

  4. Graph500 - Wikipedia

    en.wikipedia.org/wiki/Graph500

    The main performance metric used to rank the supercomputers is GTEPS (giga- traversed edges per second). Richard Murphy from Sandia National Laboratories , says that "The Graph500's goal is to promote awareness of complex data problems", instead of focusing on computer benchmarks like HPL (High Performance Linpack), which TOP500 is based on.

  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. Lists of graphics cards - Wikipedia

    en.wikipedia.org/wiki/Lists_of_graphics_cards

    Lists of graphics cards follow. A graphics card, or graphics processing unit , is a specialized electronic circuit that rapidly manipulates and alters memory to build images in a frame buffer for output to a display.

  7. AMD Instinct - Wikipedia

    en.wikipedia.org/wiki/AMD_Instinct

    The MI300X is a dedicated generative AI accelerator that replaces the CPU cores with additional GPU cores and HBM memory, resulting in a total of 304 CUs (64 cores per CU) and 192 GB of HBM3 memory. The MI300X is designed to accelerate generative AI applications, such as natural language processing, computer vision, and deep learning.

  8. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    C2070 GPU Computing Module [11] July 25, 2011 1× GF100 575 448 1150 — GDDR5 384 6 [g] 3000 144 No 1.030 0.5152 2.0 247 Internal PCIe GPU (full-height, dual-slot) C2075 GPU Computing Module [13] July 25, 2011 — 3000 144 No 225 M2070/M2070Q GPU Computing Module [14] July 25, 2011 — 3132 150.3 No 225 M2090 GPU Computing Module [15] July 25 ...

  9. GeForce 40 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_40_series

    The GeForce 40 series is a family of consumer graphics processing units (GPUs) developed by Nvidia as part of its GeForce line of graphics cards, succeeding the GeForce 30 series. The series was announced on September 20, 2022, at the GPU Technology Conference, and launched on October 12, 2022, starting with its flagship model, the RTX 4090. [1]

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