Multiplier supporting accuracy and energy trade-offs for recognition applications

Nam Sung Kim, Taejoon Park, Srinivasan Narayanamoorthy, Hadi Asgharimoghaddam

Research output: Contribution to journalArticlepeer-review

Abstract

The need to support various recognition applications on energyconstrained mobile computing devices has steadily grown. Exploiting common characteristics of recognition algorithms, a very energy-efficient multiplier that can support a runtime trade-off between computational accuracy and energy consumption is proposed. Compared to a precise multiplier, the proposed multiplier consumes 11.6×-3.2× less energy per multiplication while achieving 82-99% of the computational accuracy with negligible negative impact on recognition accuracy for three different recognition applications.

Original languageEnglish (US)
Pages (from-to)512-514
Number of pages3
JournalElectronics Letters
Volume50
Issue number7
DOIs
StatePublished - Mar 27 2014
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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