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  2. Nvidia Optimus - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Optimus

    Nvidia Optimus is a computer GPU switching technology created by Nvidia which, depending on the resource load generated by client software applications, will seamlessly switch between two graphics adapters within a computer system in order to provide either maximum performance or minimum power draw from the system's graphics rendering hardware.

  3. GPU switching - Wikipedia

    en.wikipedia.org/wiki/GPU_switching

    The CPU runs the task assignment application (usually the graphics card driver) to determine which GPU core to use. The CPU passes down the command to the Northbridge. The Northbridge passes down the command to the according GPU core. The GPU core processes the command and returns the rendered data back to the Northbridge.

  4. List of Nvidia graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Nvidia_graphics...

    Model – The marketing name for the processor, assigned by Nvidia. Launch – Date of release for the processor. Code name – The internal engineering codename for the processor (typically designated by an NVXY name and later GXY where X is the series number and Y is the schedule of the project for that generation). Fab – Fabrication ...

  5. PhysX - Wikipedia

    en.wikipedia.org/wiki/PhysX

    A BFG Physx card. PhysX is an open-source [1] realtime physics engine middleware SDK developed by Nvidia as part of the Nvidia GameWorks software suite.. Initially, video games supporting PhysX were meant to be accelerated by PhysX PPU (expansion cards designed by Ageia).

  6. Power management - Wikipedia

    en.wikipedia.org/wiki/Power_management

    Additionally, processors can selectively power off internal circuitry (power gating). For example: Newer Intel Core processors support ultra-fine power control over the functional units within the processors. AMD CoolCore technology get more efficient performance by dynamically activating or turning off parts of the processor. [3]

  7. General-purpose computing on graphics processing units

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

    Originally, data was simply passed one-way from a central processing unit (CPU) to a graphics processing unit (GPU), then to a display device. As time progressed, however, it became valuable for GPUs to store at first simple, then complex structures of data to be passed back to the CPU that analyzed an image, or a set of scientific-data ...

  8. Graphics processing unit - Wikipedia

    en.wikipedia.org/wiki/Graphics_processing_unit

    Since GPU computations are memory-intensive, integrated processing may compete with the CPU for relatively slow system RAM, as it has minimal or no dedicated video memory. IGPs use system memory with bandwidth up to a current maximum of 128 GB/s, whereas a discrete graphics card may have a bandwidth of more than 1000 GB/s between its VRAM and ...

  9. Shared graphics memory - Wikipedia

    en.wikipedia.org/wiki/Shared_graphics_memory

    A notable exception was the IBM PC. Graphics display was facilitated by the use of an expansion card with its own memory plugged into an ISA slot. The first IBM PC to use the SMA was the IBM PCjr, released in 1984. Video memory was shared with the first 128 KiB of RAM. The exact size of the video memory could be reconfigured by software to meet ...