Title :
“Free” Razor: A novel adaptive voltage scaling low power technique for data path SoC designs
Author :
Wu, Yuejian ; Thomson, Sand ; Sun, Han ; Krause, David ; Song Yu ; Kurio, George
Author_Institution :
Infinera, Ottawa, ON, Canada
Abstract :
This paper proposes a novel adaptive voltage scaling low power design methodology for large System on Chip (SoC) that demands constant data throughput. The proposed technique scales the supply voltage to the SoC based on operating conditions and bit error rate (BER) margin available in a system. It allows occasional timing errors in the circuit and relies on a forward error correction (FEC) that exists in the system to correct the errors. As a result, the proposed technique requires no hardware overhead but yields significant power savings. More importantly, it does not require any circuit modification based on place and route, thus easy to implement and has no impact on time to market. The new technique has been implemented in a complex telecom SoC design and silicon measurement shows power savings up to 46%.
Keywords :
error statistics; forward error correction; integrated circuit design; low-power electronics; power aware computing; system-on-chip; BER margin; FEC; adaptive voltage scaling; bit error rate; complex telecom SoC design; data path SoC design; data throughput; forward error correction; low power design methodology; power saving; silicon measurement; supply voltage; system on chip; timing error; Bit error rate; Forward error correction; Power dissipation; Sensors; System-on-a-chip; Timing; Voltage measurement; Low power design; voltage scaling;
Conference_Titel :
SOC Conference (SOCC), 2012 IEEE International
Conference_Location :
Niagara Falls, NY
Print_ISBN :
978-1-4673-1294-3
DOI :
10.1109/SOCC.2012.6398373