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An AI accelerator, deep learning processor or neural processing unit (NPU) 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.
The RK1808 is Rockchip's first chip with Neural Processing Unit (NPU) for artificial intelligence applications. [10] The RK1808 specifications include: Dual-core ARM Cortex-A35 CPU; Neural Processing Unit (NPU) with up to 3.0 TOPs supporting INT8/INT16/FP16 hybrid operation; 22 nm FD-SOI process; VPU supporting 1080p video codec
A floating-point unit (FPU), numeric processing unit (NPU), [1] colloquially math coprocessor, is a part of a computer system specially designed to carry out operations on floating-point numbers. [2] Typical operations are addition , subtraction , multiplication , division , and square root .
Qualcomm announced Hexagon Vector Extensions (HVX). HVX is designed to allow significant compute workloads for advanced imaging and computer vision to be processed on the DSP instead of the CPU. [19] In March 2015 Qualcomm announced their Snapdragon Neural Processing Engine SDK which allow AI acceleration using the CPU, GPU and Hexagon DSP. [20]
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 ...
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 ...
Heterogeneous Memory Management: the CPU's MMU and the GPU's IOMMU share the same address space. [17] [18] 2014 PlayStation 4, Kaveri APUs: CPU and GPU now access the memory with the same address space. Pointers can now be freely passed between CPU and GPU, hence enabling zero-copy. Fully coherent memory between CPU and GPU
Components of a GPU. A graphics processing unit (GPU) is a specialized electronic circuit initially designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles.