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  2. Llama (language model) - Wikipedia

    en.wikipedia.org/wiki/Llama_(language_model)

    LLaMA's developers focused their effort on scaling the model's performance by increasing the volume of training data, rather than the number of parameters, reasoning that the dominating cost for LLMs is from doing inference on the trained model rather than the computational cost of the training process.

  3. General-purpose computing on graphics processing units

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

    Thus, GPUs can process far more pictures and graphical data per second than a traditional CPU. Migrating data into graphical form and then using the GPU to scan and analyze it can create a large speedup. GPGPU pipelines were developed at the beginning of the 21st century for graphics processing (e.g. for better shaders).

  4. Computer cooling - Wikipedia

    en.wikipedia.org/wiki/Computer_cooling

    A finned air cooled heatsink with fan clipped onto a CPU, with a smaller passive heatsink without fan in the background A 3-fan heatsink mounted on a video card to maximize cooling efficiency of the GPU and surrounding components Commodore 128DCR computer's switch-mode power supply, with a user-installed 60 mm cooling fan.

  5. Comparison of instruction set architectures - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_instruction...

    An instruction set architecture (ISA) is an abstract model of a computer, also referred to as computer architecture.A realization of an ISA is called an implementation.An ISA permits multiple implementations that may vary in performance, physical size, and monetary cost (among other things); because the ISA serves as the interface between software and hardware.

  6. Computation offloading - Wikipedia

    en.wikipedia.org/wiki/Computation_offloading

    The CPU is responsible for instructing the GPU while the GPU uses the information to render an image on to an output device. CPU's are able to run games without a GPU through software rendering, however, offloading rendering to a GPU which has specialized hardware results in improved performance.

  7. Processor power dissipation - Wikipedia

    en.wikipedia.org/wiki/Processor_power_dissipation

    When the CPU uses power management features to reduce energy use, other components, such as the motherboard and chipset, take up a larger proportion of the computer's energy. In applications where the computer is often heavily loaded, such as scientific computing, performance per watt (how much computing the CPU does per unit of energy) becomes ...

  8. Benchmark (computing) - Wikipedia

    en.wikipedia.org/wiki/Benchmark_(computing)

    A graphical demo running as a benchmark of the OGRE engine. In computing, a benchmark is the act of running a computer program, a set of programs, or other operations, in order to assess the relative performance of an object, normally by running a number of standard tests and trials against it.

  9. GPU cluster - Wikipedia

    en.wikipedia.org/wiki/GPU_cluster

    A GPU cluster is a computer cluster in which each node is equipped with a graphics processing unit (GPU). By harnessing the computational power of modern GPUs via general-purpose computing on graphics processing units (GPGPU), very fast calculations can be performed with a GPU cluster. Titan, the first supercomputer to use GPUs