TY - RPRT
T1 - Sloppy Addition and Multiplication
AU - Nannarelli, Alberto
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
M3 - Report
T3 - IMM-Technical Report-2011
BT - Sloppy Addition and Multiplication
PB - Technical University of Denmark
CY - Kgs. Lyngby, Denmark
ER -