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The purpose of overclocking is to increase the operating speed of a given component. [3] Normally, on modern systems, the target of overclocking is increasing the performance of a major chip or subsystem, such as the main processor or graphics controller, but other components, such as system memory or system buses (generally on the motherboard), are commonly involved.
In computer graphics, a video card's pixel fillrate refers to the number of pixels that can be rendered on the screen and written to video memory in one second. [1] Pixel fillrates are given in megapixels per second or in gigapixels per second (in the case of newer cards), and are obtained by multiplying the number of render output units (ROPs) by the clock frequency of the graphics processing ...
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.
Graphics processing units (GPU) have continued to increase in energy usage, while CPUs designers have recently [when?] focused on improving performance per watt. High performance GPUs may draw large amount of power, therefore intelligent techniques are required to manage GPU power consumption.
A classic motherboard with on-board integrated graphics processors, a discrete graphics card can be installed at a PCI slot. GPU switching is a mechanism used on computers with multiple graphic controllers. This mechanism allows the user to either maximize the graphic performance or prolong battery life by switching between the graphic cards.
A gaming computer, also known as a gaming PC, is a specialized personal computer designed for playing PC games at high standards. They typically differ from mainstream personal computers by using high-performance graphics cards, a high core-count CPU with higher raw performance and higher-performance RAM.
Graphics processing units (GPU) have continued to increase in energy usage, while CPUs designers have recently [when?] focused on improving performance per watt. High performance GPUs may draw large amount of power, therefore intelligent techniques are required to manage GPU power consumption.
In 2006, Nvidia's GPU had a 4x performance advantage over other CPUs. In 2018 the Nvidia GPU was 20 times faster than a comparable CPU node: the GPUs were 1.7x faster each year. Moore's law would predict a doubling every two years, however Nvidia's GPU performance was more than tripled every two years, fulfilling Huang's law. [5]
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