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AMD PowerTune is a series of dynamic frequency scaling technologies built into some AMD GPUs and APUs that allow the clock speed of the processor to be dynamically changed (to different P-states) by software.
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.
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.
In deep learning, fine-tuning is an approach to transfer learning in which the parameters of a pre-trained neural network model are trained on new data. [1] Fine-tuning can be done on the entire neural network, or on only a subset of its layers, in which case the layers that are not being fine-tuned are "frozen" (i.e., not changed during backpropagation). [2]
This new GPU microarchitecture is aimed to accelerate the real-time ray tracing support and AI Inferencing. It features a new Ray Tracing unit (RT Core) which can dedicate processors to the ray tracing in hardware. It supports the DXR extension in Microsoft DirectX 12. Nvidia claims the new architecture is up to 6 times faster than the older ...
[12] [13] Google unveiled the first Android TV device, the Nexus Player developed by Asus, at a hardware event in October 2014. [14] The ADT-2 development kit device was released before the release of Android TV 9.0. [15] Android TV 10 was released on December 10, 2019, [16] together with the ADT-3 development kit. [17]
In machine learning, hyperparameter optimization [1] or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts.
In all cases, a 'K' at the end of it shows that it is an unlocked processor, enabling additional overclocking abilities (for instance, 2500K). vPro products will carry the Intel Core i7 vPro processor or the Intel Core i5 vPro processor name. [332] In October 2011, Intel started to sell its Core i7-2700K "Sandy Bridge" chip to customers worldwide.