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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.
A current version can be downloaded from AMD's site, and some Linux distributions contain it in their repositories. It is in the process of being replaced with an AMDGPU-PRO hybrid driver combining the open-source kernel, X and Mesa multimedia drivers with closed-source OpenGL, OpenCL and Vulkan drivers derived from Catalyst.
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.
10.664/21.328 DDR2 DDR3 64 128 1.8 3.6 57.6 10.0 3.3 Unknown based on 8400 GS GeForce 9400 mGPU MCP7A-U 580 1400 2.32 4.64 67.2 12 GeForce 9300 GE [49] June 2008 G98 TSMC 65 nm 210 86 540 1300 500 8:8:4 256 6.4 [50] DDR2 64 2.16 4.32 20.8 25 GeForce 9300 GS [49] 567 1400 2.268 4.536 22.4 GeForce 9400 GT August 27, 2008 G96-200-c1 G96a G96b ...
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.
Cards from such vendors differ on implementing data-format support, such as integer and floating-point formats (32-bit and 64-bit). Microsoft introduced a Shader Model standard, to help rank the various features of graphic cards into a simple Shader Model version number (1.0, 2.0, 3.0, etc.).
Intel Xe expands upon the microarchitectural overhaul introduced in Gen 11 with a full refactor of the instruction set architecture. [19] [4] While Xe is a family of architectures, each variant has significant differences from each other as these are made with their targets in mind.
In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
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