Title :
Cross-coupled bit-line biasing for 22-nm SRAM
Author :
Halupka, David ; Sheikholeslami, Ali
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
Abstract :
Sub-22 nm processes necessitate the use of larger SRAM cells in order to counter the effects of increasing silicon variation. However, storage density is reduced when the SRAM cell grows in size. This paper proposes the use of a cross-coupled bit line (BL) biasing scheme that retains SRAM´s fast access speed while reducing the read-access failures in the presence of V variation, without excessively increasing the SRAM cell size. We have shown, by extensive Monte-Carlo simulations using 22-nm predictive CMOS models, that the proposed scheme reduces the cell area by 6.5% compared to the conventional BL biasing schemes also analyzed in this paper.
Keywords :
CMOS memory circuits; Monte Carlo methods; SRAM chips; Monte-Carlo simulations; SRAM cells; cross-coupled bit-line biasing; read-access failures; silicon variation; size 22 nm; storage density; CMOS technology; Circuit faults; Counting circuits; Error correction codes; Predictive models; Random access memory; Redundancy; Semiconductor device modeling; Silicon; Voltage;
Conference_Titel :
Research in Microelectronics and Electronics, 2009. PRIME 2009. Ph.D.
Conference_Location :
Cork
Print_ISBN :
978-1-4244-3733-7
Electronic_ISBN :
978-1-4244-3734-4
DOI :
10.1109/RME.2009.5201375