Analysis and design of approximate inner-product architectures based on distributed arithmetic

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dc.contributor.author Ray, Dwaipayan
dc.contributor.author George, Nithin V.
dc.contributor.author Meher, Pramod Kumar
dc.contributor.other 2019 IEEE International Symposium on Circuits and Systems (ISCAS)
dc.coverage.spatial Sapporo, JP
dc.date.accessioned 2019-05-20T10:09:47Z
dc.date.available 2019-05-20T10:09:47Z
dc.date.issued 2019-05
dc.identifier.citation Ray, Dwaipayan; George, Nithin V. and Meher, Pramod Kumar, “Analysis and design of approximate inner-product architectures based on distributed arithmetic”, in the 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, JP, May 26-29, 2019. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4420
dc.description.abstract Distributed arithmetic (DA) based architectures are popularly used for inner-product computation in various applications. Existing literature shows that the use of approximate DA-architectures in error resilient applications provides a significant improvement in the overall efficiency of the system. Based on precise error analysis, we find that the existing methods introduce large truncation error in the computation of the final inner-product. Therefore, to have a suitable trade-off between the overall hardware complexity and truncation error, a weight-dependent truncation approach is proposed in this paper. The overall efficiency of the structure is further enhanced by incorporating an input truncation strategy in the proposed method. It is observed that the area, time and energy efficiency of the proposed designs are superior to the existing designs with significantly lower truncation error. Evaluation in the case of noisy image smoothing application is also shown in this paper. en_US
dc.description.statementofresponsibility by Dwaipayan Ray, Nithin V. George and Pramod Kumar Meher
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.subject Complexity theory en_US
dc.subject Table lookup en_US
dc.subject Integrated circuit modeling en_US
dc.subject Finite wordlength effects en_US
dc.subject Random variables en_US
dc.subject Hardware en_US
dc.subject Predictive models en_US
dc.title Analysis and design of approximate inner-product architectures based on distributed arithmetic en_US
dc.type Article en_US


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