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  2. Performance per watt - Wikipedia

    en.wikipedia.org/wiki/Performance_per_watt

    Power supplies, motherboards, and some video cards are some of the subsystems affected by this. So their power draw may depend on temperature, and the temperature or temperature dependence should be noted when measuring. [24] [25] Performance per watt also typically does not include full life-cycle costs.

  3. 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.

  4. GPU mining - Wikipedia

    en.wikipedia.org/wiki/GPU_mining

    GPU mining is the use of Graphics Processing Units (GPUs) to "mine" proof-of-work cryptocurrencies, such as Bitcoin. [1] Miners receive rewards for performing computationally intensive work, such as calculating hashes, that amend and verify transactions on an open and decentralized ledger.

  5. Thermal design power - Wikipedia

    en.wikipedia.org/wiki/Thermal_design_power

    Rca (°C/W) = Thermal resistance of the Heat sink, between the case of the CPU and the ambient air. Tc = Maximum allowed temperature of the CPU's case (ensuring full performances). Ta = Maximum expected ambient temperature at the inlet of the Heat sink fan. All these parameters are linked together by the following equation:

  6. Junction temperature - Wikipedia

    en.wikipedia.org/wiki/Junction_temperature

    For example, a typical white LED output declines 20% for a 50 °C rise in junction temperature. Because of this temperature sensitivity, LED measurement standards, like IESNA’s LM-85 Archived 2017-10-18 at the Wayback Machine, require that the junction temperature is determined when making photometric measurements. [5]

  7. General-purpose computing on graphics processing units

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

    Alea GPU, [20] created by QuantAlea, [21] introduces native GPU computing capabilities for the Microsoft .NET languages F# [22] 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. [23]

  8. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    Internal PCIe GPU (full-height, dual-slot) M2050 GPU Computing Module [12] July 25, 2011 — 3092 148.4 No 225 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

  9. Heaven Benchmark - Wikipedia

    en.wikipedia.org/wiki/Heaven_Benchmark

    Heaven and other benchmarks by UNIGINE Company are often used by hardware reviewers to compare performance of GPUs [1] [2] [3] and by overclockers for online and offline competitions in GPU overclocking [4] [5]. Running Heaven (or another benchmark by UNIGINE Company) produces a performance score: the higher the numbers, the better the ...

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