Title :
Compensation of systematic variations through optimal biasing of SRAM wordlines
Author :
Carlson, Andrew ; Guo, Zheng ; Pang, Liang-Teck ; Liu, Tsu-Jae King ; Nikolic, B.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA
Abstract :
Increasing process variability is slowing SRAM scaling by reducing both read and write margins. Existing techniques to compensate for systematic variations optimize cell stability with excessive penalty to writeability. To maximize overall yield, a sensor circuit is presented that optimizes the read / write tradeoff in the presence of process, voltage, and temperature variations. Sensors implemented in a low-power 45 nm test chip adjust the wordline voltage to track changes in the optimal value within 30 mV over the entire range of operation.
Keywords :
SRAM chips; SRAM scaling; SRAM wordlines; cell stability; process variability; sensor circuit; systematic variations; Circuit stability; Circuit testing; Condition monitoring; Degradation; Noise measurement; Random access memory; Robustness; Sensor arrays; Temperature sensors; Voltage;
Conference_Titel :
Custom Integrated Circuits Conference, 2008. CICC 2008. IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-2018-6
Electronic_ISBN :
978-1-4244-2019-3
DOI :
10.1109/CICC.2008.4672107