Energy Efficient Rounding Technique Approximate Multiplier Configuration with Approximate Compressors.

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Bibliographic Details
Title:	Energy Efficient Rounding Technique Approximate Multiplier Configuration with Approximate Compressors.
Authors:	D., Hima Bindu¹ Himabindudattada@gmail.com, Jabirullah, Mohammed² drjabirullah@lords.ac.in, Domala, Narsaiah³ dnarsaiah@lords.ac.in
Source:	Turkish Online Journal of Qualitative Inquiry. 2021, Vol. 12 Issue 10, p1029-1040. 12p.
Subject Terms:	Signal processing, Data mining, Computer arithmetic
Abstract:	Accurate computing may help with data processing for error-resistant applications including signal and image processing, computer vision, and data mining. The expense of improving the circuit characteristics limits the precision that may be used for approximations. The circuit designer uses the target accuracy as a criterion for balancing precision with the circuit's capabilities. In this situation, using the rounding method is a great way to keep the transaction under control. According to the simulation findings, the proposed multiplier outperforms its counterparts in terms of strength, range, speed, and energy. The degree of accuracy must be monitored while spending as little money on hardware as feasible while dealing with an increasing amount of data. [ABSTRACT FROM AUTHOR]
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Database:	Education Research Complete

Description
Abstract:	Accurate computing may help with data processing for error-resistant applications including signal and image processing, computer vision, and data mining. The expense of improving the circuit characteristics limits the precision that may be used for approximations. The circuit designer uses the target accuracy as a criterion for balancing precision with the circuit's capabilities. In this situation, using the rounding method is a great way to keep the transaction under control. According to the simulation findings, the proposed multiplier outperforms its counterparts in terms of strength, range, speed, and energy. The degree of accuracy must be monitored while spending as little money on hardware as feasible while dealing with an increasing amount of data. [ABSTRACT FROM AUTHOR]
ISSN:	13096591