DocumentCode :
1436678
Title :
An Enhanced Canary-Based System With BIST for SRAM Standby Power Reduction
Author :
Wang, Jiajing ; Hoefler, Alexander ; Calhoun, Benton H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
Volume :
19
Issue :
5
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
909
Lastpage :
914
Abstract :
To achieve aggressive standby power reduction for static random access memory (SRAM), we have previously proposed a closed-loop VDD scaling system with canary replicas that can track global variations. In this paper, we propose several techniques to enhance the efficiency of this system for more advanced technologies. Adding dummy cells around the canary cell improves the tracking of systematic variations. A new canary circuit avoids the possibility that a canary cell may never fail because it resets into its more stable data pattern. A built-in self-test (BIST) block incorporates self-calibration of SRAM minimum standby VDD and the initial failure threshold due to intrinsic mismatch. Measurements from a new 45 nm test chip further demonstrate the function of the canary cells in smaller technology and show that adding dummy cells reduces the variation of the canary cell.
Keywords :
SRAM chips; built-in self test; calibration; integrated circuit testing; BIST; SRAM standby power reduction; built-in self-test; canary circuit; canary-based system; closed-loop VDD scaling; dummy cells; intrinsic mismatch; self-calibration; size 45 nm; static random access memory; Built-in self-test; CMOS technology; Circuits; Leakage current; Random access memory; SRAM chips; Semiconductor device measurement; Stability; Temperature; Voltage; Built-in self test (BIST); data retention voltage (DRV); standby power; static random access memory (SRAM); variation;
fLanguage :
English
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-8210
Type :
jour
DOI :
10.1109/TVLSI.2010.2042184
Filename :
5428790
Link To Document :
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