Multiplier Supporting Accuracy And Energy Trade-Offs For Recognition Applications
Electronics Letters （2014）
摘要
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 11.6x-3.2x less energy per multiplication while achieving 82-99% of the computational accuracy with negligible negative impact on recognition accuracy for three different recognition applications.
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关键词
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
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