Title :
Power optimization of sum-of-products design for signal processing applications
Author :
Seok Won Heo ; Suk Joong Huh ; Ercegovac, Milos D.
Author_Institution :
Comput. Sci. Dept., Univ. of California at Los Angeles, Los Angeles, CA, USA
Abstract :
Power consumption is a critical aspect in today´s mobile environment, while high-throughput remains a major design goal. To satisfy both low-power and high-throughput requirements, parallelism has been employed. In this paper we present an approach to reducing power dissipation in the design of sum-of-products operation by utilizing parallel hardware while maintaining high-throughput. The proposed design reduces about 46% of execution time with about 12% energy penalty compared to the ARM7TDMI-S multipliers in benchmark programs.
Keywords :
parallel processing; power aware computing; signal processing; ARM7TDMI-S multipliers; energy penalty; mobile environment; parallel hardware; power consumption; power dissipation; power optimization; signal processing application; sum of products design; Adders; Benchmark testing; Clocks; Delays; Finite impulse response filters; Hardware; Power dissipation; High-throughput Arithmetic; Low-power Arithmetic; Sum-of-products;
Conference_Titel :
Application-Specific Systems, Architectures and Processors (ASAP), 2013 IEEE 24th International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0494-5
DOI :
10.1109/ASAP.2013.6567574