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MSI Afterburner is a graphics card overclocking (OC) and monitoring utility that allows users to monitor and adjust various settings of their graphics card. [2] Developed by MSI (Micro-Star International) and previously Alexey Nicolaychuk, developer of RivaTuner, it is widely used for enhancing the performance of graphics cards, especially in gaming and high-performance tasks.
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.
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.
Spoilers below. If you made it to the end of the Squid Game season 2 finale, you might have been so stunned by the ending that you sat through the credits, frozen in shock.And in that case, you ...
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.
This controversial way of eating is gaining traction online.
Some species of male birds dance to impress their mates, such as the complicated dance routine of the little red-capped manakin or the flashy display of the male peacock. In other species, the ...
Nvidia therefore has safely enabled asynchronous compute in Pascal's driver. [10] Instruction-level preemption. In graphics tasks, the driver restricts this to pixel-level preemption because pixel tasks typically finish quickly and the overhead costs of doing pixel-level preemption are much lower than performing instruction-level preemption.