Variability analysis for sub-100 nm PD/SOI CMOS SRAM cell
Rajiv V. Joshi, Saibal Mukhopadhyay, et al.
ESSCIRC 2004
In nanoscaled technologies, increased inter-die and intra-die variations in process parameters can result in large number of parametric failures in an SRAM array, thereby, degrading yield. In this paper, we propose a self-repairing SRAM to reduce parametric failures in memory. In the proposed technique, on-chip monitoring of leakage current and/or delay of a ring oscillator is used to determine the inter-die process corner of an SRAM die. Depending on the inter-die Vt shift, the self-repair system selects the proper body bias to reduce parametric failures. Simulations using predictive 70-nm device show that the proposed self-repairing SRAM improves design yield by 5%-40%. A test-chip is designed and fabricated in IBM 0.13-μm CMOS technology to successfully demonstrate the operation of the self-repair system. © 2007 IEEE.
Rajiv V. Joshi, Saibal Mukhopadhyay, et al.
ESSCIRC 2004
Niladri Narayan Mojumder, Saibal Mukhopadhyay, et al.
VTS 2008
Saibal Mukhopadhyay, Keunwoo Kim, et al.
ISQED 2005
Chris Hyung-Il Kim, Jae-Joon Kim, et al.
IEEE Transactions on VLSI Systems