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Hardware acceleration is the use of computer hardware designed to perform specific functions more efficiently when compared to software running on a general-purpose central processing unit (CPU). Any transformation of data that can be calculated in software running on a generic CPU can also be calculated in custom-made hardware, or in some mix ...
A neural processing unit (NPU), also known as AI accelerator or deep learning processor, is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.
AES-NI (or the Intel Advanced Encryption Standard New Instructions; AES-NI) was the first major implementation.AES-NI is an extension to the x86 instruction set architecture for microprocessors from Intel and AMD proposed by Intel in March 2008.
A SHA instruction set is a set of extensions to the x86 and ARM instruction set architecture which support hardware acceleration of Secure Hash Algorithm (SHA) family. It was specified in 2013 by Intel. [1] Instructions for SHA-512 was introduced in Arrow Lake and Lunar Lake in 2024.
The older Clarkdale microarchitecture had hardware video decoding support, but no hardware encoding support; [5] it was known as Intel Clear Video. Version 1 (Sandy Bridge) Quick Sync was initially built into some Sandy Bridge CPUs, but not into Sandy Bridge Pentiums or Celerons. It adds H.264/AVC encoding and VC-1 decoding acceleration. [8]
In computing, a cryptographic accelerator is a co-processor designed specifically to perform computationally intensive cryptographic operations, doing so far more efficiently than the general-purpose CPU. Because many servers' system loads consist mostly of cryptographic operations, this can greatly increase performance.
What is known today as PhysX originated as a physics simulation engine called NovodeX. The engine was developed by Swiss company NovodeX AG, an ETH Zurich spin-off. [3] In 2004, Ageia acquired NovodeX AG and began developing a hardware technology that could accelerate physics calculations, aiding the CPU.
The idea is having specialized processors offload time-consuming tasks from a computer's CPU, much like how a GPU performs graphics operations in the main CPU's place. The term was coined by Ageia to describe its PhysX chip. Several other technologies in the CPU-GPU spectrum have some features in common with it, although Ageia's product was the ...