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Overclocking a GPU will often yield a marked increase in performance in synthetic benchmarks, usually reflected in game performance. [25] It is sometimes possible to see that a graphics card is being pushed beyond its limits before any permanent damage is done by observing on-screen artifacts or unexpected system crashes.
Examples of malfunctions include physical damage, overheating, insufficient voltage and GPU overclocking. Common types of hardware artifacts are texture corruption and T-vertices in 3D graphics, and pixelization in MPEG compressed video.
Unsuited video card (graphics card) drivers. Drivers that have values that the graphics card is not suited with. Overclocking beyond the capabilities of the particular video card. Software bugs in the application or operating system. The differing cases of visual artifacting can also differ between scheduled task(s).
Our guide for how to overclock your graphics card covers the software you need to use, the various ways you can overclock, and the expected gains. If you're looking to tune your GPU to improve ...
Both dynamic voltage scaling and dynamic frequency scaling can be used to prevent computer system overheating, which can result in program or operating system crashes, and possibly hardware damage. Reducing the voltage supplied to the CPU below the manufacturer's recommended minimum setting can result in system instability.
Components of a GPU. A graphics processing unit (GPU) is a specialized electronic circuit initially designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles.
The dynamic power (switching power) dissipated by a chip is C·V 2 ·A·f, where C is the capacitance being switched per clock cycle, V is voltage, A is the Activity Factor [1] indicating the average number of switching events per clock cycle by the transistors in the chip (as a unitless quantity) and f is the clock frequency.
RivaTuner is a freeware overclocking and hardware monitoring program that was first developed by Alexey Nicolaychuk in 1997 [1] for the Nvidia video cards.It was a pioneering application that influenced (and in some cases was integrated into) the design of subsequent freeware graphics card overclocking and monitoring utilities.