Sometimes reducing the precision of a numerical processor, by introducing errors, can lead to significant performance (delay, area and power dissipation) improvements without compromising the overall quality of the processing. In this work, we show how to perform the two basic operations, addition and multiplication, in an imprecise manner by simplifying the hardware implementation. With the proposed 'sloppy' operations, we obtain a reduction in delay, area and power dissipation, and the error introduced is still acceptable for applications such as image processing. © 2012 IEEE.
Albicocco, P., Cardarilli, G.c., Nannarelli, A., Petricca, M., Re, M. (2012). Imprecise arithmetic for low power image processing. In Conference Record - Asilomar Conference on Signals, Systems and Computers (pp.983-987). Piscataway - NJ : IEEE [10.1109/ACSSC.2012.6489164].
Imprecise arithmetic for low power image processing
CARDARILLI, GIAN CARLO;RE, MARCO
2012-01-01
Abstract
Sometimes reducing the precision of a numerical processor, by introducing errors, can lead to significant performance (delay, area and power dissipation) improvements without compromising the overall quality of the processing. In this work, we show how to perform the two basic operations, addition and multiplication, in an imprecise manner by simplifying the hardware implementation. With the proposed 'sloppy' operations, we obtain a reduction in delay, area and power dissipation, and the error introduced is still acceptable for applications such as image processing. © 2012 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
