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  2. Run-time estimation of system and sub-system level power ...

    en.wikipedia.org/wiki/Run-time_estimation_of...

    The other challenge is in accessing HPCs; for example, in this case they are being read at the beginning of the main OS timer interrupt which requires a software modification. A software program can be written using the equations 1 and 2 and the estimated power weights derived from the table to estimate the power consumption at run-time.

  3. Performance per watt - Wikipedia

    en.wikipedia.org/wiki/Performance_per_watt

    The power measurement is often the average power used while running the benchmark, but other measures of power usage may be employed (e.g. peak power, idle power). For example, the early UNIVAC I computer performed approximately 0.015 operations per watt-second (performing 1,905 operations per second (OPS), while consuming 125 kW).

  4. 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).

  5. RDNA 3 - Wikipedia

    en.wikipedia.org/wiki/RDNA_3

    RDNA 3 is a GPU microarchitecture designed by AMD, released with the Radeon RX 7000 series on December 13, 2022. Alongside powering the RX 7000 series, RDNA 3 is also featured in the SoCs designed by AMD for the Asus ROG Ally , Lenovo Legion Go , and the PlayStation 5 Pro consoles.

  6. 16-pin 12VHPWR connector - Wikipedia

    en.wikipedia.org/wiki/16-Pin_12vHPWR_connector

    The 16-pin 12VHPWR connector is a standard for connecting graphics processing units (GPUs) to computer power supplies for up to 600 W power delivery. It was introduced in 2022 to supersede the previous 6- and 8-pin power connectors for GPUs. The primary aim was to cater to the increasing power requirements of high-performance GPUs.

  7. GeForce 600 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_600_series

    The SMX are the key method for Kepler's power efficiency as the whole GPU uses a single "Core Clock" rather than the double-pump "Shader Clock". [4] The SMX usage of a single unified clock increases the GPU power efficiency due to the fact that two Kepler CUDA Cores consume 90% power of one Fermi CUDA Core.

  8. GeForce RTX 40 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_40_series

    Power consumption was another point of criticism for the RTX 4090. [91] The RTX 4090 has a TDP of 450W compared to the 350W of its last generation equivalent. However, Jarred Walton of Tom's Hardware noted that the RTX 4090 has the same 450W TDP as the RTX 3090 Ti while delivering much higher performance with that power consumption.

  9. Kepler (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Kepler_(microarchitecture)

    In these scenarios, GPU Boost will gradually increase the clock speed in steps, until the GPU reaches a predefined power target of 170W by default (on the 680 card). [5] By taking this approach, the GPU will ramp its clock up or down dynamically, so that it is providing the maximum amount of speed possible while remaining within TDP specifications.