DocumentCode :
580930
Title :
Tunable sensors for process-aware voltage scaling
Author :
Chan, Tuck-Boon ; Kahng, Andrew B.
Author_Institution :
ECE Dept., UC San Diego, La Jolla, CA, USA
fYear :
2012
fDate :
5-8 Nov. 2012
Firstpage :
7
Lastpage :
14
Abstract :
VLSI circuits usually allocate excess margin to account for worst-case process variation. Since most chips are fabricated at process conditions better than the worst-case corner, adaptive voltage scaling (AVS) is commonly used to reduce power consumption whenever possible. A typical AVS setup relies on a performance monitor that replicates critical paths of the circuit to guide voltage scaling. However, it is difficult to define appropriate critical paths for an SoC which has multiple operating modes and IPs. In this paper, we propose a different methodology for AVS which matches the voltage scaling characteristics of a circuit rather than the delays of critical paths. This fundamental change in monitoring strategy simplifies the monitoring circuitry as well as the calibration flow of conventional monitoring methods. To enable the proposed methodology, we study voltage scaling characteristics of digital circuits. Based on our analyses, we develop design guidelines as well as design monitoring circuits which have tunable voltage scaling characteristics. Our experimental results show that this methodology can be used for AVS with a simplified calibration flow.
Keywords :
VLSI; calibration; integrated circuit design; integrated circuit measurement; sensors; system-on-chip; AVS; SoC; VLSI circuits; adaptive voltage scaling; calibration flow; critical path delay; design monitoring circuits; digital circuits; monitoring strategy; power consumption; process-aware voltage scaling; tunable sensors; voltage scaling characteristics; worst-case process variation; Frequency measurement; Monitoring; Resistance; Sensors; Silicon; System-on-a-chip; Voltage measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Aided Design (ICCAD), 2012 IEEE/ACM International Conference on
Conference_Location :
San Jose, CA
ISSN :
1092-3152
Type :
conf
Filename :
6386582
Link To Document :
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