DocumentCode :
54632
Title :
Multiplier supporting accuracy and energy trade-offs for recognition applications
Author :
Nam Sung Kim ; Taejoon Park ; Narayanamoorthy, Srinivasan ; Asgharimoghaddam, Hossein
Author_Institution :
Univ. of Wisconsin, Madison, WI, USA
Volume :
50
Issue :
7
fYear :
2014
fDate :
March 27 2014
Firstpage :
512
Lastpage :
514
Abstract :
The need to support various recognition applications on energy-constrained 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.
Keywords :
digital arithmetic; human computer interaction; matrix decomposition; pattern recognition; power aware computing; energy consumption; energy trade-offs; energy-constrained mobile computing devices; energy-efficient multiplier; human-machine interaction; multiplier supporting accuracy; recognition applications;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2013.4212
Filename :
6780229
Link To Document :
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