Title :
Energy-efficient truncated multipliers
Author :
Abdelghany, Ibrahim ; Saab, Wajeb ; Sakakini, Tarek ; Yassine, Abdul-Amir ; Chehab, Ali ; Kayssi, Ayman ; Elhajj, I.H.
Author_Institution :
Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Beirut, Lebanon
Abstract :
Approximate computing is a promising approach in the design of low-power digital systems. There are two main approaches in approximate computing: the first relies on lowering the supply voltage level on specific computational blocks, while the second relies on completely truncating specific computational blocks. The second option is more aggressive; however, it is deterministic and leads to better energy savings. This paper, in accordance with the second option, presents a set of 8-bit combinational digital multipliers that provide an approximate product while reducing energy consumption by up to 57% while maintaining excellent results, as demonstrated by several image-processing applications.
Keywords :
combinational circuits; multiplying circuits; approximate computing; combinational digital multipliers; energy consumption reduction; energy-efficient truncated multipliers; image-processing applications; low-power digital system design; supply voltage level; word length 8 bit; Accuracy; Algorithm design and analysis; Energy consumption; Equations; Image coding; Mathematical model; Transform coding; Truncation; approximate computing; low energy; multiplier; signal processing;
Conference_Titel :
Energy Aware Computing Systems and Applications (ICEAC), 2013 4th Annual International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/ICEAC.2013.6737633