Design of efficient arithmetic datapath units for digital image and signal processing
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Abstract
Arithmetic operations employed in Very Large Scale Integration (VLSI)
newlinecircuits majorly involve both exact and inexact computing. Exact computing
newlineis used in high accuracy applications. There are applications that demands
newlinelow power, high speed, less area relaxing the high accuracy works well with
newlineacceptable results. Approximate or in-exact computing returns possibly
newlineinaccurate result rather than a guaranteed accurate result where the system
newlineintentionally exposes incorrectness to the application layer in return
newlineconserving hardware resource. Currently, approximate computing technology
newlineincreases efficiency with accuracy in terms of operating time, area and power.
newlineApproximate computation is intended to add approximation levels from the
newlinelevel of software, algorithms, architecture, logic or transistors to various
newlinedesign levels.
newlineThe main concern in approximate computing is the identification of the
newlinesection of the application that can be approximated. Mostly it is introduced on
newlinenon-critical data. Researchers are working on different layers like device
newlinelevel, circuit level and high level abstraction levels to reduce power, area and
newlinedelay at the cost of tolerable error. Significant attention to decrease power
newlineconsumption, as it determines the system cost, packaging, battery life, thermal
newlineand electrical limits of the devices is need of the day. They create space and
newlineenergy-efficient structures for battery-powered portable electronics.
newlineApproximate circuits are used in image and video processing applications and
newlineapplication circuits that handle human sensing signals like hearing, touch, and
newlinesmell because a little error in the output does not damage the visual quality or
newlinehearing sense.Most of the electronic designs are focused on novel power
newlinereduction techniques resulting in saving IC power by a large percentage
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