Input data order dependency of approximate multipliers in error resilient applications

dc.contributor.advisor	Mekie, Joycee
dc.contributor.author	Pidagannavar, Mallikarjun Y.
dc.date.accessioned	2022-08-31T10:59:37Z
dc.date.available	2022-08-31T10:59:37Z
dc.date.issued	2022
dc.identifier.citation	Pidagannavar, Mallikarjun Y. (2022). Input data order dependency of approximate multipliers in error resilient applications. Gandhinagar: Indian Institute of Technology Gandhinagar, 46p. (Acc. No.: T00972).
dc.identifier.uri	https://repository.iitgn.ac.in/handle/123456789/8057
dc.description.statementofresponsibility	by Mallikarjun Y. Pidagannavar
dc.format.extent	vii, 46p.: hbk.; 30 cm.
dc.language.iso	en_US
dc.publisher	Indian Institute of Technology Gandhinagar
dc.subject	19210082
dc.subject	Gaussian Smoothening
dc.subject	Approximate Computing
dc.subject	Approximate computing--Application
dc.subject	Multicore Technology
dc.subject	Moore’s Law
dc.title	Input data order dependency of approximate multipliers in error resilient applications
dc.type	Thesis
dc.contributor.department	Electrical Engineering
dc.description.degree	M. Tech