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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.
www.nvidia.com /en-us /drivers /nvidia-system-tools-6 _08-driver / NVIDIA System Tools (previously called nTune ) is a discontinued collection of utilities for accessing, monitoring, and adjusting system components, including temperature and voltages with a graphical user interface within Windows, rather than through the BIOS .
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.
Shared graphics power components, allowing non-graphics drivers to participate in the power management of a graphics device. Shared texture improvements , increasing the types of textures that can be shared across processes and Direct3D devices, adding support to monochrome with minimal memory copying.
Community-created, free and open-source drivers exist as an alternative to the drivers released by Nvidia. Open-source drivers are developed primarily for Linux, however there may be ports to other operating systems. The most prominent alternative driver is the reverse-engineered free and open-source nouveau graphics device driver.
GPU Boost is a new feature which is roughly analogous to turbo boosting of a CPU. The GPU is always guaranteed to run at a minimum clock speed, referred to as the "base clock". This clock speed is set to the level which will ensure that the GPU stays within TDP specifications, even at maximum loads. [3]
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.
Raspberry Pi can use a VideoCore IV GPU via a binary blob, which is loaded into the GPU at boot time from the SD-card, and additional software, that initially was closed source. [225] This part of the driver code was later released. [226] However, much of the actual driver work is done using the closed source GPU code.